Primary Details Time Type: Full timeWorker Type: Employee Data Science Lead - Pricing (Automotive Protection) London Permanent (Hybrid) About QBE At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner.What if you could have a positive impact - at work and in the of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. Having the right to work in the UK is a requirement for this role.QBE may consider sponsorship at its discretion. The opportunity We're seeking a Data Science Lead to join our established and growing Pricing & Analytics team for Automotive Protection's global business, helping to strengthen our pricing and predictive modelling capabilities. This is an exciting opportunity for an individual looking to start or continue their career within the insurance industry, and who want to join a team of experienced and supportive colleagues. This role will be based in our London office. Your new role In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you'll be responsible for transitioning our pricing models to python and developing our machine learning capability.If you're passionate about turning data into actionable strategies and thrive in a collaborative, energetic environment, we want you on our team!Main responsibilities: Act as the technical lead for transitioning our GLM pricing models to Python and developing our machine learning capability Work closely with the Senior Analyst Manager to shape Automotive Protection's data science strategy, identify high value opportunities, and deliver analytical solutions that directly influence global decision-making Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth Collaborate with analyst team to build, monitor, and refresh predictive models as needed Design and enhance analytics that generate actionable insights and support business decisions Ensure all models meet regulatory standards, follow best-practice governance, and are well documented Present findings clearly and confidently to diverse audiences, ensuring insights are understood and actionable Collaborate across functions, including with clients, senior stakeholders, and wider business teamsThis role is ideal for someone who enjoys solving real-world problems with data, takes ownership of their work, and is passionate about making analytics part of everyday business decisions. About You You're a hands-on data scientist who enjoys solving real problems with data. You're confident using Python, comfortable working with large and complex datasets, and able to explain your work clearly to people from a wide range of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life.Skills you'll need: Strong proficiency in Python for data analysis, modelling, and solution development Familiarity with working in a Linux environment Strong understanding of machine learning and data science principles, including MLOps practices and Databricks Good experience with MS SQL Server Management Studio, MS Office, Power BI, and Excel, with the ability to transform data into impactful insights A background in data management or analytics within financial services, ideally in general insurance A track record of developing models that deliver real and lasting business improvements Experience working with large structured and unstructured datasets Ability to define business requirements, solve complex problems, and deliver tailored analytical solutions Excellent communication skills, with the ability to explain technical concepts clearly to non-technical colleagues and stakeholders A collaborative, open approach to working with others and building strong relationships Experience working in fast-paced environments and managing projects using agile methodologies Benefits We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from: 30 days holiday a year with the option to buy up to 2 additional days. Flexible working -balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours. Pension - you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary. Private medical insurance - we fund fully comprehensive private medical cover for you and all the family. Family friendly policies - we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent. Short term remote work abroad -you can request up to 20 days per year to work remotely from certain locations abroad. Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes. Our pension strategy supports our net-zero goal to achieve year-on-year reductions in carbon footprint, by investing more in green businesses than the broader market, so your savings are looking after the planet's future, as well as your own. Cycle-to-Work - benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000.To find out more visit our Awards & Recognition We value our employee's experience with us and are proud to have been recognised for the following awards: Winner of Excellence in Diversity, Equity & Inclusion Award 2025 at the Insurance Business Australia Awards for our program Insurance Post British Insurance Awards 2025: Winner: Commercial Lines Insurer of the Year, Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance AXCO Global Insurance Awards 2024 Winner: Network Management of the Year Insurance Business UK 5-Star Cyber Awards 2024: QBE rated as a 5-Star Cyber Insurer UK IT Industry Awards 2023 Winner: Green Technology Innovation of the Year Working Dads Employer Awards 2023 Winner: Parental Policies Award Insurance Post British Insurance Awards 2023: QBE rated as a 5-Star EmployeeYou can view all our awards Apply now and let's make it happen! If you're looking for a career that combines your expertise and your empathy, click Apply today. Your career. At the heart of it. Skills: Communication, Critical Thinking, Data Science, Data Visualization, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Prioritization, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Thought LeadershipHow to Apply:To submit your application, click "Apply" and follow the step by step process.Equal Employment Opportunity:QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Jan 09, 2026
Full time
Primary Details Time Type: Full timeWorker Type: Employee Data Science Lead - Pricing (Automotive Protection) London Permanent (Hybrid) About QBE At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner.What if you could have a positive impact - at work and in the of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. Having the right to work in the UK is a requirement for this role.QBE may consider sponsorship at its discretion. The opportunity We're seeking a Data Science Lead to join our established and growing Pricing & Analytics team for Automotive Protection's global business, helping to strengthen our pricing and predictive modelling capabilities. This is an exciting opportunity for an individual looking to start or continue their career within the insurance industry, and who want to join a team of experienced and supportive colleagues. This role will be based in our London office. Your new role In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you'll be responsible for transitioning our pricing models to python and developing our machine learning capability.If you're passionate about turning data into actionable strategies and thrive in a collaborative, energetic environment, we want you on our team!Main responsibilities: Act as the technical lead for transitioning our GLM pricing models to Python and developing our machine learning capability Work closely with the Senior Analyst Manager to shape Automotive Protection's data science strategy, identify high value opportunities, and deliver analytical solutions that directly influence global decision-making Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth Collaborate with analyst team to build, monitor, and refresh predictive models as needed Design and enhance analytics that generate actionable insights and support business decisions Ensure all models meet regulatory standards, follow best-practice governance, and are well documented Present findings clearly and confidently to diverse audiences, ensuring insights are understood and actionable Collaborate across functions, including with clients, senior stakeholders, and wider business teamsThis role is ideal for someone who enjoys solving real-world problems with data, takes ownership of their work, and is passionate about making analytics part of everyday business decisions. About You You're a hands-on data scientist who enjoys solving real problems with data. You're confident using Python, comfortable working with large and complex datasets, and able to explain your work clearly to people from a wide range of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life.Skills you'll need: Strong proficiency in Python for data analysis, modelling, and solution development Familiarity with working in a Linux environment Strong understanding of machine learning and data science principles, including MLOps practices and Databricks Good experience with MS SQL Server Management Studio, MS Office, Power BI, and Excel, with the ability to transform data into impactful insights A background in data management or analytics within financial services, ideally in general insurance A track record of developing models that deliver real and lasting business improvements Experience working with large structured and unstructured datasets Ability to define business requirements, solve complex problems, and deliver tailored analytical solutions Excellent communication skills, with the ability to explain technical concepts clearly to non-technical colleagues and stakeholders A collaborative, open approach to working with others and building strong relationships Experience working in fast-paced environments and managing projects using agile methodologies Benefits We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from: 30 days holiday a year with the option to buy up to 2 additional days. Flexible working -balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours. Pension - you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary. Private medical insurance - we fund fully comprehensive private medical cover for you and all the family. Family friendly policies - we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent. Short term remote work abroad -you can request up to 20 days per year to work remotely from certain locations abroad. Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes. Our pension strategy supports our net-zero goal to achieve year-on-year reductions in carbon footprint, by investing more in green businesses than the broader market, so your savings are looking after the planet's future, as well as your own. Cycle-to-Work - benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000.To find out more visit our Awards & Recognition We value our employee's experience with us and are proud to have been recognised for the following awards: Winner of Excellence in Diversity, Equity & Inclusion Award 2025 at the Insurance Business Australia Awards for our program Insurance Post British Insurance Awards 2025: Winner: Commercial Lines Insurer of the Year, Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance AXCO Global Insurance Awards 2024 Winner: Network Management of the Year Insurance Business UK 5-Star Cyber Awards 2024: QBE rated as a 5-Star Cyber Insurer UK IT Industry Awards 2023 Winner: Green Technology Innovation of the Year Working Dads Employer Awards 2023 Winner: Parental Policies Award Insurance Post British Insurance Awards 2023: QBE rated as a 5-Star EmployeeYou can view all our awards Apply now and let's make it happen! If you're looking for a career that combines your expertise and your empathy, click Apply today. Your career. At the heart of it. Skills: Communication, Critical Thinking, Data Science, Data Visualization, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Prioritization, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Thought LeadershipHow to Apply:To submit your application, click "Apply" and follow the step by step process.Equal Employment Opportunity:QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
A leading tech company is seeking a Senior Data Scientist/Research Economist in Greater London. This role involves designing and conducting research on the economic impacts of AI technologies. The ideal candidate has a Master's degree in a relevant field and 4+ years of analytics experience, including coding skills in Python, R, and SQL. Responsibilities include developing new frameworks for AI engagement and communicating findings through high-impact publications. The company values diversity and promotes equal opportunity in the workplace.
Jan 09, 2026
Full time
A leading tech company is seeking a Senior Data Scientist/Research Economist in Greater London. This role involves designing and conducting research on the economic impacts of AI technologies. The ideal candidate has a Master's degree in a relevant field and 4+ years of analytics experience, including coding skills in Python, R, and SQL. Responsibilities include developing new frameworks for AI engagement and communicating findings through high-impact publications. The company values diversity and promotes equal opportunity in the workplace.
Quantitative Risk Senior Analyst page is loaded Quantitative Risk Senior Analystlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R The CRO function: The role sits within the Market Risk team within the CRO function. The CRO function is responsible for independently monitoring and assessing all risks in LCH Ltd against the standards set out by the LCH Ltd Board in the Risk Governance Framework and reporting their findings to the LCH Ltd Board, Risk Committee, TSR and Audit Committee.Specifically, the CRO function is responsible for: Establishing and maintaining risk policies for LCH Ltd to define the expected standards for risk management in detail for all enterprise risks (including financial, resilience and corporate risks) Establishing and maintaining a framework for monitoring and reporting on business performance against the defined standards; implementing standards by challenging the 'first line' where necessary Reviewing and approving any new product proposals, new member applications, policy reviews, action closure memoranda, serious incident reviews, issue escalation, new jurisdictions, new collateral requests, model changes and parameter updates via the Executive Risk Committee (ERCo) and its sub-committees the Resilience Committee (ResCo) and the Financial Risk Working Group (FRWG) Providing assurance to regulators in the relevant jurisdictions that regulatory standards in relation to Risk Management are being met on an on-going basisThe CRO function aims to develop a strong, diverse team of technically skilled, dedicated risk management professionals, to provide exceptional career development opportunities and a stimulating, challenging working environment. The Market Risk Team: The Market Risk team specific responsibilities include: Responsible for monitoring, assessing, reporting and managing market risk, liquidity risk, investment risk, model risk, procyclicality risk and settlement risk across all LCH Ltd business divisions (SwapClear, Listed Rates, ForexClear, RepoClear, EquityClear and CaLM). Quality control (provides challenge) for all first line new product and model and parameter changes. Monitoring risk model performance across all services by analysing backtesting and procyclicality statistics. Maintaining relevant financial risk policies (e.g. Financial Resources Adequacy Policy); regularly review policy wordings and compliance with policies. Engage with regulators, including within regular thematic reviews or Supervisory Stress Testing exercises. Key responsibilities of the role: As Quantitative Risk Senior Associate within the Market Risk team of the LCH Group Risk Department (CRO function), the role reports into and supports the Lead of Quantitative Analysis with risk models, stress testing and economic capital. The role covers all clearing services in LCH Ltd (SwapClear, Listed Rates, ForexClear, RepoClear and EquityClear) and CaLM.Specific responsibilities include: Monitoring risk model performance across all services, for example using backtesting, procyclicality and Kupiec statistics Review and challenge risk methodologies for all first line new products and model changes Participation in the Model Working Group - forum for advanced quantitative topics among LCH quants Maintain Economic Risk Capital Model and reporting Review changes to stress testing framework; conducts reverse stress testing analysis Acts as a quantitative risk expert in support of all other risk managers in the team Establishes and maintains analytical tools to enable risk analysis Build strong working relationships with internal colleagues, both within the Market Risk team and wider CRO department, and other internal teams such First Line Risk teams.Experience and skills required:Work experience Strong experience working in a quantitative risk function within a financial services organisation Good understanding of the central clearing business, with demonstrated experience of quantitative analysis in at least one of the LCH Ltd asset classesTechnical skills Strong domain expertise, including technical knowledge of risk management techniques such as Value at Risk and Stress Testing Advanced Excel and programming competency, in particular VBA, SQL, R/Python.Soft skills Highly motivated and results orientated with good organisational skills; ability to multi-task, prioritise and work to deadlines. Ability to produce clear, well-structured documentation explaining quantitative methodologies. Proactively anticipates problems and takes action rather than waiting to be told what to do, balanced with good judgment in terms of conveying information to others including more senior colleagues, and knowing when to escalate a problem. Good interpersonal skills - in particular communication and collaboration - understands the needs and preferences of the team and key partners. Demonstrates ability to adjust communication to the level of knowledge of the recipient in order to influence Ability to work well as part of a team, as well as work independently, shows a positive mentality about own work and that of the wider team.Education: Master's degree level (or equivalent experience) in a numerical, scientific, or financial subject area (e.g., mathematics, statistics, physics, engineering, or quantitative finance).Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets
Jan 09, 2026
Full time
Quantitative Risk Senior Analyst page is loaded Quantitative Risk Senior Analystlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R The CRO function: The role sits within the Market Risk team within the CRO function. The CRO function is responsible for independently monitoring and assessing all risks in LCH Ltd against the standards set out by the LCH Ltd Board in the Risk Governance Framework and reporting their findings to the LCH Ltd Board, Risk Committee, TSR and Audit Committee.Specifically, the CRO function is responsible for: Establishing and maintaining risk policies for LCH Ltd to define the expected standards for risk management in detail for all enterprise risks (including financial, resilience and corporate risks) Establishing and maintaining a framework for monitoring and reporting on business performance against the defined standards; implementing standards by challenging the 'first line' where necessary Reviewing and approving any new product proposals, new member applications, policy reviews, action closure memoranda, serious incident reviews, issue escalation, new jurisdictions, new collateral requests, model changes and parameter updates via the Executive Risk Committee (ERCo) and its sub-committees the Resilience Committee (ResCo) and the Financial Risk Working Group (FRWG) Providing assurance to regulators in the relevant jurisdictions that regulatory standards in relation to Risk Management are being met on an on-going basisThe CRO function aims to develop a strong, diverse team of technically skilled, dedicated risk management professionals, to provide exceptional career development opportunities and a stimulating, challenging working environment. The Market Risk Team: The Market Risk team specific responsibilities include: Responsible for monitoring, assessing, reporting and managing market risk, liquidity risk, investment risk, model risk, procyclicality risk and settlement risk across all LCH Ltd business divisions (SwapClear, Listed Rates, ForexClear, RepoClear, EquityClear and CaLM). Quality control (provides challenge) for all first line new product and model and parameter changes. Monitoring risk model performance across all services by analysing backtesting and procyclicality statistics. Maintaining relevant financial risk policies (e.g. Financial Resources Adequacy Policy); regularly review policy wordings and compliance with policies. Engage with regulators, including within regular thematic reviews or Supervisory Stress Testing exercises. Key responsibilities of the role: As Quantitative Risk Senior Associate within the Market Risk team of the LCH Group Risk Department (CRO function), the role reports into and supports the Lead of Quantitative Analysis with risk models, stress testing and economic capital. The role covers all clearing services in LCH Ltd (SwapClear, Listed Rates, ForexClear, RepoClear and EquityClear) and CaLM.Specific responsibilities include: Monitoring risk model performance across all services, for example using backtesting, procyclicality and Kupiec statistics Review and challenge risk methodologies for all first line new products and model changes Participation in the Model Working Group - forum for advanced quantitative topics among LCH quants Maintain Economic Risk Capital Model and reporting Review changes to stress testing framework; conducts reverse stress testing analysis Acts as a quantitative risk expert in support of all other risk managers in the team Establishes and maintains analytical tools to enable risk analysis Build strong working relationships with internal colleagues, both within the Market Risk team and wider CRO department, and other internal teams such First Line Risk teams.Experience and skills required:Work experience Strong experience working in a quantitative risk function within a financial services organisation Good understanding of the central clearing business, with demonstrated experience of quantitative analysis in at least one of the LCH Ltd asset classesTechnical skills Strong domain expertise, including technical knowledge of risk management techniques such as Value at Risk and Stress Testing Advanced Excel and programming competency, in particular VBA, SQL, R/Python.Soft skills Highly motivated and results orientated with good organisational skills; ability to multi-task, prioritise and work to deadlines. Ability to produce clear, well-structured documentation explaining quantitative methodologies. Proactively anticipates problems and takes action rather than waiting to be told what to do, balanced with good judgment in terms of conveying information to others including more senior colleagues, and knowing when to escalate a problem. Good interpersonal skills - in particular communication and collaboration - understands the needs and preferences of the team and key partners. Demonstrates ability to adjust communication to the level of knowledge of the recipient in order to influence Ability to work well as part of a team, as well as work independently, shows a positive mentality about own work and that of the wider team.Education: Master's degree level (or equivalent experience) in a numerical, scientific, or financial subject area (e.g., mathematics, statistics, physics, engineering, or quantitative finance).Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets
The Firm Brevan Howard Asset Management is one of the leading absolute return/hedge fund managers, overseeing assets on behalf of institutional investors from around the world, including pension funds, endowments, insurance companies, government agencies, private banks, and fund of funds. Brevan Howard was founded in 2002 and launched its flagship global macro strategy in April 2003. The firm currently manages over $34bn and engages predominantly in discretionary directional and relative value trading in fixed income, FX markets, and equities. BH Digital, a division within Brevan Howard that manages crypto and digital asset strategies was launched in 2022. The firm currently employs over 1,000 personnel worldwide, including over 400 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance. The firm's main hubs are in London, Jersey, Geneva, New York, Austin, Hong Kong, Singapore, Abu Dhabi and Bengaluru. Overview & Responsibilities Our Risk & Treasury Graduate Programme is fourteen months in duration and seeks to hire ambitious, enthusiastic candidates who have strong mathematical/quantitative backgrounds and a demonstrated interest in risk and treasury. The programme will start with an extensive two-month training programme at our London office, followed by two six-month rotations. The training will cover a range of topics relating to Financial Markets and Risk Management, including Macroeconomics, FX, Digital Assets, Interest Rate Derivatives, Equities, Bonds, Credit and Fixed Income, Risk Sensitivities (the Greeks), Pricing Strategies, Excel and Python. Additionally, graduates will benefit from classes hosted by Risk Officers, Traders and Portfolio Managers, as well as key talks, networking lunches, a mentor programme, and social events. The rotations aim to provide each graduate with "on the desk" experiences. We will match you to desks within the Risk & Treasury department based on your skills, where you will learn the fundamentals of risk management and contribute in a tangible way to the successful running of the Risk & Treasury department. At the end of the programme, graduates will be placed on a permanent desk within Risk & Treasury. Qualifications & Requirements A recent graduate of a bachelor's or master's degree at a recognised University with a minimum of a 2:1 / 3.5 GPA - completed and awarded before August 2025 Bachelor's or Master's in Mathematics, Physics, Engineering, Financial Engineering, Finance or STEM related field (Master's preferred) Strong quantitative, analytical and problem-solving skills with a high attention to detail Self-starter that can work independently, as well as collaboratively as part of a team Inquisitive; eager to learn new concepts and examine topics in depth Outstanding organisational skills: ability to prioritise tasks and deliver on multiple projects accordingly Strong communication and interpersonal skills; exemplary professionalism with internal and external clients and exceptional written and verbal communication skills in English Technical skills and experience: Microsoft Excel, programming skills e.g. in SQL/Python, data visualisation
Jan 09, 2026
Full time
The Firm Brevan Howard Asset Management is one of the leading absolute return/hedge fund managers, overseeing assets on behalf of institutional investors from around the world, including pension funds, endowments, insurance companies, government agencies, private banks, and fund of funds. Brevan Howard was founded in 2002 and launched its flagship global macro strategy in April 2003. The firm currently manages over $34bn and engages predominantly in discretionary directional and relative value trading in fixed income, FX markets, and equities. BH Digital, a division within Brevan Howard that manages crypto and digital asset strategies was launched in 2022. The firm currently employs over 1,000 personnel worldwide, including over 400 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance. The firm's main hubs are in London, Jersey, Geneva, New York, Austin, Hong Kong, Singapore, Abu Dhabi and Bengaluru. Overview & Responsibilities Our Risk & Treasury Graduate Programme is fourteen months in duration and seeks to hire ambitious, enthusiastic candidates who have strong mathematical/quantitative backgrounds and a demonstrated interest in risk and treasury. The programme will start with an extensive two-month training programme at our London office, followed by two six-month rotations. The training will cover a range of topics relating to Financial Markets and Risk Management, including Macroeconomics, FX, Digital Assets, Interest Rate Derivatives, Equities, Bonds, Credit and Fixed Income, Risk Sensitivities (the Greeks), Pricing Strategies, Excel and Python. Additionally, graduates will benefit from classes hosted by Risk Officers, Traders and Portfolio Managers, as well as key talks, networking lunches, a mentor programme, and social events. The rotations aim to provide each graduate with "on the desk" experiences. We will match you to desks within the Risk & Treasury department based on your skills, where you will learn the fundamentals of risk management and contribute in a tangible way to the successful running of the Risk & Treasury department. At the end of the programme, graduates will be placed on a permanent desk within Risk & Treasury. Qualifications & Requirements A recent graduate of a bachelor's or master's degree at a recognised University with a minimum of a 2:1 / 3.5 GPA - completed and awarded before August 2025 Bachelor's or Master's in Mathematics, Physics, Engineering, Financial Engineering, Finance or STEM related field (Master's preferred) Strong quantitative, analytical and problem-solving skills with a high attention to detail Self-starter that can work independently, as well as collaboratively as part of a team Inquisitive; eager to learn new concepts and examine topics in depth Outstanding organisational skills: ability to prioritise tasks and deliver on multiple projects accordingly Strong communication and interpersonal skills; exemplary professionalism with internal and external clients and exceptional written and verbal communication skills in English Technical skills and experience: Microsoft Excel, programming skills e.g. in SQL/Python, data visualisation
Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Marketing Closing date: 14 January 2026 Requisition ID: We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. We're one of the biggest supermarkets in the UK with one of the largest websites. So marketing here really happens at scale. We move a lot faster than you'd think too, across Brand Planning, Brand Comms and Creative, Digital Marketing, CRM and Loyalty, Nectar 360, Insights, and Corporate Responsibility and Sustainability. More people shopping with us each week means more interactions. And thanks to data insight, we understand customers in a way that almost nobody else does. We work alongside incredible brand partners and the best agencies around. So if you have a passion to learn, grow and experience new teams, come and explore it all with us. Joining us at Sainsbury's means being part of a dynamic and innovative multi-channel, multi-brand business that serves millions of customers every day. With the largest loyalty scheme in the UK and cutting-edgedigital platforms, we handle over 1.2 billion transactions annually, offering unparalleled volume, depth, and complexity of data. As part of our Chief Data and Analytics Office,you'll have the exciting opportunity to tap into this vast data set, leveraging advanced technology and analytics to build scalable and high-performance products that deliver an amazing shopping experience to millions of people across the UK. In an inclusive and agile environment,you'll have the freedom to foster curiosity, experiment, and tackle real-world challenges, helping us unlock the true value of our data and drive impactful analysis that supports our strategic goals. Join us and be part of a team that values ownership, continuous improvement, and a human touch in everything we do. What you'll do As a Lead Analyst in the Price & Promotion Analytics team at Sainsbury's, you will play a pivotal role in unlocking value from one of the UK's most dynamic retail data sets. You will lead and deliver complex analytical projects end to end, ensuring clarity of purpose, rigour of approach, and excellence in output quality. You will coach and develop junior analysts, shaping their technical capability, analytical thinking, and career progression. You will build strong relationships across Commercial, Product, Engineering and Data Science, acting as a trusted partner who challenges assumptions, proposes innovative solutions, and brings data driven clarity to strategic discussions. You will design and implement advanced analytical solutions, including ETL pipelines, statistical models, dashboards and machine learning approaches, and translate the resulting insights into compelling narratives that support and influence senior stakeholders across the organisation. Who you are As a Lead Analyst, you are an experienced and commercially astute analytics professional with a proven track record of delivering high impact insights that drive business change. You combine exceptional SQL and Python capability with strong communication and storytelling skills, enabling you to influence stakeholders at all levels. You demonstrate sound judgement, high attention to detail, and a proactive mindset that continually seeks to improve tools, processes, and ways of working. You thrive in ambiguous, fast moving environments and excel at guiding teams toward clear, evidence based recommendations. You are a natural coach who develops others, elevates analytical standards, and contributes meaningfully to the broader analytics community. Strong numerate background (degree or equivalent analytical experience). Excellent SQL and strong Python expertise; experience with ML modelling, Snowflake, R, GitHub, and Jira is advantageous but not required. Proven experience leading or mentoring analysts, with a track record of developing capability. Demonstrable impact through delivering actionable insights and driving business change. Pricing experience (especially UK grocery) advantageous but not essential. Strong stakeholder management and influencing skills. High attention to detail and strong commercial judgement. Proactive approach to learning, development and team contribution. We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and in-store at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well as access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
Jan 09, 2026
Full time
Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Marketing Closing date: 14 January 2026 Requisition ID: We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. We're one of the biggest supermarkets in the UK with one of the largest websites. So marketing here really happens at scale. We move a lot faster than you'd think too, across Brand Planning, Brand Comms and Creative, Digital Marketing, CRM and Loyalty, Nectar 360, Insights, and Corporate Responsibility and Sustainability. More people shopping with us each week means more interactions. And thanks to data insight, we understand customers in a way that almost nobody else does. We work alongside incredible brand partners and the best agencies around. So if you have a passion to learn, grow and experience new teams, come and explore it all with us. Joining us at Sainsbury's means being part of a dynamic and innovative multi-channel, multi-brand business that serves millions of customers every day. With the largest loyalty scheme in the UK and cutting-edgedigital platforms, we handle over 1.2 billion transactions annually, offering unparalleled volume, depth, and complexity of data. As part of our Chief Data and Analytics Office,you'll have the exciting opportunity to tap into this vast data set, leveraging advanced technology and analytics to build scalable and high-performance products that deliver an amazing shopping experience to millions of people across the UK. In an inclusive and agile environment,you'll have the freedom to foster curiosity, experiment, and tackle real-world challenges, helping us unlock the true value of our data and drive impactful analysis that supports our strategic goals. Join us and be part of a team that values ownership, continuous improvement, and a human touch in everything we do. What you'll do As a Lead Analyst in the Price & Promotion Analytics team at Sainsbury's, you will play a pivotal role in unlocking value from one of the UK's most dynamic retail data sets. You will lead and deliver complex analytical projects end to end, ensuring clarity of purpose, rigour of approach, and excellence in output quality. You will coach and develop junior analysts, shaping their technical capability, analytical thinking, and career progression. You will build strong relationships across Commercial, Product, Engineering and Data Science, acting as a trusted partner who challenges assumptions, proposes innovative solutions, and brings data driven clarity to strategic discussions. You will design and implement advanced analytical solutions, including ETL pipelines, statistical models, dashboards and machine learning approaches, and translate the resulting insights into compelling narratives that support and influence senior stakeholders across the organisation. Who you are As a Lead Analyst, you are an experienced and commercially astute analytics professional with a proven track record of delivering high impact insights that drive business change. You combine exceptional SQL and Python capability with strong communication and storytelling skills, enabling you to influence stakeholders at all levels. You demonstrate sound judgement, high attention to detail, and a proactive mindset that continually seeks to improve tools, processes, and ways of working. You thrive in ambiguous, fast moving environments and excel at guiding teams toward clear, evidence based recommendations. You are a natural coach who develops others, elevates analytical standards, and contributes meaningfully to the broader analytics community. Strong numerate background (degree or equivalent analytical experience). Excellent SQL and strong Python expertise; experience with ML modelling, Snowflake, R, GitHub, and Jira is advantageous but not required. Proven experience leading or mentoring analysts, with a track record of developing capability. Demonstrable impact through delivering actionable insights and driving business change. Pricing experience (especially UK grocery) advantageous but not essential. Strong stakeholder management and influencing skills. High attention to detail and strong commercial judgement. Proactive approach to learning, development and team contribution. We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and in-store at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well as access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
2026 Graduate Programme - Risk & Treasury, London page is loaded 2026 Graduate Programme - Risk & Treasury, Londonlocations: London (82)time type: Full timeposted on: Posted Todaytime left to apply: End Date: January 31, 2026 (30+ days left to apply)job requisition id: JR101225 The FirmBrevan Howard Asset Management is one of the leading absolute return/hedge fund managers, overseeing assets on behalf of institutional investors from around the world, including pension funds, endowments, insurance companies, government agencies, private banks, and fund of funds.Brevan Howard was founded in 2002 and launched its flagship global macro strategy in April 2003. The firm currently manages over $34bn and engages predominantly in discretionary directional and relative value trading in fixed income, FX markets, and equities. BH Digital, a division within Brevan Howard that manages crypto and digital asset strategies was launched in 2022.The firm currently employs over 1,000 personnel worldwide, including over 400 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance.The firm's main hubs are in London, Jersey, Geneva, New York, Austin, Hong Kong, Singapore, Abu Dhabi and Bengaluru. Overview & ResponsibilitiesOur Risk & Treasury Graduate Programme is fourteen months in duration and seeks to hire ambitious, enthusiastic candidates who have strong mathematical/quantitative backgrounds and a demonstrated interest in risk and treasury.The programme will start with an extensive two-month training programme at our London office, followed by two six-month rotations. The training will cover a range of topics relating to Financial Markets and Risk Management, including Macroeconomics, FX, Digital Assets, Interest Rate Derivatives, Equities, Bonds, Credit and Fixed Income, Risk Sensitivities ("the Greeks"), Pricing Strategies, Excel and Python.Additionally, graduates will benefit from classes hosted by Risk Officers, Traders and Portfolio Managers, as well as key talks, networking lunches, a mentor programme, and social events.The rotations aim to provide each graduate with "on the desk" experiences. We will match you to desks within the Risk & Treasury department based on your skills, where you will learn the fundamentals of risk management and contribute in a tangible way to the successful running of the Risk & Treasury department. At the end of the programme, graduates will be placed on a permanent desk within Risk & Treasury. Qualifications & Requirements A recent graduate of a bachelor's or master's degree at a recognised University with a minimum of a 2:1 / 3.5 GPA - completed and awarded before August 2025 Bachelor's or Master's in Mathematics, Physics, Engineering, Financial Engineering, Finance or STEM related field (Master's preferred) Strong quantitative, analytical and problem-solving skills with a high attention to detail Self-starter that can work independently, as well as collaboratively as part of a team Inquisitive; eager to learn new concepts and examine topics in depth Outstanding organisational skills: ability to prioritise tasks and deliver on multiple projects accordingly Strong communication and interpersonal skills; exemplary professionalism with internal and external clients and exceptional written and verbal communication skills in English Technical skills and experience: Microsoft Excel, programming skills e.g. in SQL/Python, data visualisationThe firm currently employs over 1,000 personnel worldwide, including over 400 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance.
Jan 08, 2026
Full time
2026 Graduate Programme - Risk & Treasury, London page is loaded 2026 Graduate Programme - Risk & Treasury, Londonlocations: London (82)time type: Full timeposted on: Posted Todaytime left to apply: End Date: January 31, 2026 (30+ days left to apply)job requisition id: JR101225 The FirmBrevan Howard Asset Management is one of the leading absolute return/hedge fund managers, overseeing assets on behalf of institutional investors from around the world, including pension funds, endowments, insurance companies, government agencies, private banks, and fund of funds.Brevan Howard was founded in 2002 and launched its flagship global macro strategy in April 2003. The firm currently manages over $34bn and engages predominantly in discretionary directional and relative value trading in fixed income, FX markets, and equities. BH Digital, a division within Brevan Howard that manages crypto and digital asset strategies was launched in 2022.The firm currently employs over 1,000 personnel worldwide, including over 400 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance.The firm's main hubs are in London, Jersey, Geneva, New York, Austin, Hong Kong, Singapore, Abu Dhabi and Bengaluru. Overview & ResponsibilitiesOur Risk & Treasury Graduate Programme is fourteen months in duration and seeks to hire ambitious, enthusiastic candidates who have strong mathematical/quantitative backgrounds and a demonstrated interest in risk and treasury.The programme will start with an extensive two-month training programme at our London office, followed by two six-month rotations. The training will cover a range of topics relating to Financial Markets and Risk Management, including Macroeconomics, FX, Digital Assets, Interest Rate Derivatives, Equities, Bonds, Credit and Fixed Income, Risk Sensitivities ("the Greeks"), Pricing Strategies, Excel and Python.Additionally, graduates will benefit from classes hosted by Risk Officers, Traders and Portfolio Managers, as well as key talks, networking lunches, a mentor programme, and social events.The rotations aim to provide each graduate with "on the desk" experiences. We will match you to desks within the Risk & Treasury department based on your skills, where you will learn the fundamentals of risk management and contribute in a tangible way to the successful running of the Risk & Treasury department. At the end of the programme, graduates will be placed on a permanent desk within Risk & Treasury. Qualifications & Requirements A recent graduate of a bachelor's or master's degree at a recognised University with a minimum of a 2:1 / 3.5 GPA - completed and awarded before August 2025 Bachelor's or Master's in Mathematics, Physics, Engineering, Financial Engineering, Finance or STEM related field (Master's preferred) Strong quantitative, analytical and problem-solving skills with a high attention to detail Self-starter that can work independently, as well as collaboratively as part of a team Inquisitive; eager to learn new concepts and examine topics in depth Outstanding organisational skills: ability to prioritise tasks and deliver on multiple projects accordingly Strong communication and interpersonal skills; exemplary professionalism with internal and external clients and exceptional written and verbal communication skills in English Technical skills and experience: Microsoft Excel, programming skills e.g. in SQL/Python, data visualisationThe firm currently employs over 1,000 personnel worldwide, including over 400 investment professionals. This global presence gives Brevan Howard the ability to identify and source attractive investment opportunities, as well as investment management talent wherever they may be. Brevan Howard has won several industry awards for excellence in risk management, operational robustness, and investment performance.
Mid-Level Data Engineer (Azure / Databricks) NO VISA REQUIREMENTS Location: Glasgow (3+ days) Reports to: Head of IT My client is undergoing a major transformation of their entire data landscape-migrating from legacy systems and manual reporting into a modern Azure + Databricks Lakehouse. They are building a secure, automated, enterprise-grade platform powered by Lakeflow Declarative Pipelines, Unity Catalog and Azure Data Factory. They are looking for a Mid-Level Data Engineer to help deliver high-quality pipelines and curated datasets used across Finance, Operations, Sales, Customer Care and Logistics. What You'll Do Lakehouse Engineering (Azure + Databricks) Build and maintain scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark and Spark SQL. Work within a Medallion architecture (Bronze ? Silver ? Gold) to deliver reliable, high-quality datasets. Ingest data from multiple sources including ChargeBee, legacy operational files, SharePoint, SFTP, SQL, REST and GraphQL APIs using Azure Data Factory and metadata-driven patterns. Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations. Curated Layers & Data Modelling Develop clean and conforming Silver & Gold layers aligned to enterprise subject areas. Contribute to dimensional modelling (star schemas), harmonisation logic, SCDs and business marts powering Power BI datasets. Apply governance, lineage and permissioning through Unity Catalog. Orchestration & Observability Use Lakeflow Workflows and ADF to orchestrate and optimise ingestion, transformation and scheduled jobs. Help implement monitoring, alerting, SLAs/SLIs and runbooks to support production reliability. Assist in performance tuning and cost optimisation. DevOps & Platform Engineering Contribute to CI/CD pipelines in Azure DevOps to automate deployment of notebooks, Lakeflow Declarative Pipelines, SQL models and ADF assets. Support secure deployment patterns using private endpoints, managed identities and Key Vault. Participate in code reviews and help improve engineering practices. Collaboration & Delivery Work with BI and Analytics teams to deliver curated datasets that power dashboards across the business. Contribute to architectural discussions and the ongoing data platform roadmap. Tech You'll Use Databricks: Lakeflow Declarative Pipelines, Lakeflow Workflows, Unity Catalog, Delta Lake Azure: ADLS Gen2, Data Factory, Event Hubs (optional), Key Vault, private endpoints Languages: PySpark, Spark SQL, Python, Git DevOps: Azure DevOps Repos & Pipelines, CI/CD Analytics: Power BI, Fabric What We're Looking For Experience Commercial and proven data engineering experience. Hands-on experience delivering solutions on Azure + Databricks . Strong PySpark and Spark SQL skills within distributed compute environments. Experience working in a Lakehouse/Medallion architecture with Delta Lake. Understanding of dimensional modelling (Kimball), including SCD Type 1/2. Exposure to operational concepts such as monitoring, retries, idempotency and backfills. Mindset Keen to grow within a modern Azure Data Platform environment. Comfortable with Git, CI/CD and modern engineering workflows. Able to communicate technical concepts clearly to non-technical stakeholders. Quality-driven, collaborative and proactive. Nice to Have Databricks Certified Data Engineer Associate. Experience with streaming ingestion (Auto Loader, event streams, watermarking). Subscription/entitlement modelling (e.g., ChargeBee). Unity Catalog advanced security (RLS, PII governance). Terraform or Bicep for IaC. Fabric Semantic Models or Direct Lake optimisation experience. Why Join? Opportunity to shape and build a modern enterprise Lakehouse platform. Hands-on work with Azure, Databricks and leading-edge engineering practices. Real progression opportunities within a growing data function. Direct impact across multiple business domains.
Jan 07, 2026
Full time
Mid-Level Data Engineer (Azure / Databricks) NO VISA REQUIREMENTS Location: Glasgow (3+ days) Reports to: Head of IT My client is undergoing a major transformation of their entire data landscape-migrating from legacy systems and manual reporting into a modern Azure + Databricks Lakehouse. They are building a secure, automated, enterprise-grade platform powered by Lakeflow Declarative Pipelines, Unity Catalog and Azure Data Factory. They are looking for a Mid-Level Data Engineer to help deliver high-quality pipelines and curated datasets used across Finance, Operations, Sales, Customer Care and Logistics. What You'll Do Lakehouse Engineering (Azure + Databricks) Build and maintain scalable ELT pipelines using Lakeflow Declarative Pipelines, PySpark and Spark SQL. Work within a Medallion architecture (Bronze ? Silver ? Gold) to deliver reliable, high-quality datasets. Ingest data from multiple sources including ChargeBee, legacy operational files, SharePoint, SFTP, SQL, REST and GraphQL APIs using Azure Data Factory and metadata-driven patterns. Apply data quality and validation rules using Lakeflow Declarative Pipelines expectations. Curated Layers & Data Modelling Develop clean and conforming Silver & Gold layers aligned to enterprise subject areas. Contribute to dimensional modelling (star schemas), harmonisation logic, SCDs and business marts powering Power BI datasets. Apply governance, lineage and permissioning through Unity Catalog. Orchestration & Observability Use Lakeflow Workflows and ADF to orchestrate and optimise ingestion, transformation and scheduled jobs. Help implement monitoring, alerting, SLAs/SLIs and runbooks to support production reliability. Assist in performance tuning and cost optimisation. DevOps & Platform Engineering Contribute to CI/CD pipelines in Azure DevOps to automate deployment of notebooks, Lakeflow Declarative Pipelines, SQL models and ADF assets. Support secure deployment patterns using private endpoints, managed identities and Key Vault. Participate in code reviews and help improve engineering practices. Collaboration & Delivery Work with BI and Analytics teams to deliver curated datasets that power dashboards across the business. Contribute to architectural discussions and the ongoing data platform roadmap. Tech You'll Use Databricks: Lakeflow Declarative Pipelines, Lakeflow Workflows, Unity Catalog, Delta Lake Azure: ADLS Gen2, Data Factory, Event Hubs (optional), Key Vault, private endpoints Languages: PySpark, Spark SQL, Python, Git DevOps: Azure DevOps Repos & Pipelines, CI/CD Analytics: Power BI, Fabric What We're Looking For Experience Commercial and proven data engineering experience. Hands-on experience delivering solutions on Azure + Databricks . Strong PySpark and Spark SQL skills within distributed compute environments. Experience working in a Lakehouse/Medallion architecture with Delta Lake. Understanding of dimensional modelling (Kimball), including SCD Type 1/2. Exposure to operational concepts such as monitoring, retries, idempotency and backfills. Mindset Keen to grow within a modern Azure Data Platform environment. Comfortable with Git, CI/CD and modern engineering workflows. Able to communicate technical concepts clearly to non-technical stakeholders. Quality-driven, collaborative and proactive. Nice to Have Databricks Certified Data Engineer Associate. Experience with streaming ingestion (Auto Loader, event streams, watermarking). Subscription/entitlement modelling (e.g., ChargeBee). Unity Catalog advanced security (RLS, PII governance). Terraform or Bicep for IaC. Fabric Semantic Models or Direct Lake optimisation experience. Why Join? Opportunity to shape and build a modern enterprise Lakehouse platform. Hands-on work with Azure, Databricks and leading-edge engineering practices. Real progression opportunities within a growing data function. Direct impact across multiple business domains.
Senior Product Analyst - FlexiPay & Credit Card Funding Circle is seeking a Senior Product Analyst to join our innovative FlexiPay and Credit Card team. This is a key role within the analytics function where you will have the opportunity to build data-driven strategies, drive strategic decisions and shape the future roadmap of our products. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. Our mission is to provide them with the finance they need to grow, and we've built a game-changing platform with cutting-edge data and technology that's reshaping the landscape of SME lending. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role We are looking for a data-driven and commercially-minded Product Analyst to join our dynamic analytics team, with a dedicated focus on our FlexiPay product. You will be a dedicated analytical partner to various teams across the business, including Product, Marketing, and Commercial working hand-in-hand with them to ensure the strategies for FlexiPay are grounded in robust data and insight. This is a key role where you will have the autonomy to explore data, formulate hypotheses, and see your insights directly shape and scale FlexiPay and Credit cards into core products for Funding Circle, products that thousands of businesses rely on. Responsibilities Drive Strategy with Data: Analyse user behaviour, identify trends, and provide clear, data-backed recommendations that directly influence the product roadmap and growth strategy. Champion Experimentation: Own the end-to-end process for experimentation. You will collaborate with product managers to design experiments, define success metrics, analyse results with statistical rigour, and present findings that guide product iterations. Build for Scale: Design, build, and maintain insightful and intuitive dashboards and reports that provide a clear view of product performance. Your work will empower the wider team with self-service analytics, enabling them to make faster, better-informed decisions. Be a Cross-Functional Partner: Work closely with Product Managers, Engineers, and Designers from initial discovery and ideation through to launch. You'll be the go-to data expert within your team, ensuring we are asking the right questions and measuring what matters. Define and Measure Success: Establish, monitor, and report on Key Performance Indicators (KPIs) to track product health and communicate progress towards team goals, ensuring everyone is aligned and informed. Serve as a Data Expert: Act as the primary analytical point of contact for key product areas, providing insights across the entire customer lifecycle, including user acquisition, engagement, and retention. You will proactively guide stakeholders to articulate their data needs and help them form impactful questions. Qualifications Analytical Experience: 4+ years of hands-on experience in a product analytics/data analysis role. Industry Background (Preferred): Previous experience in the financial services or fintech industry, especially in areas like retail or SME lending, is a strong plus. Technical Proficiency: Excellent proficiency in SQL and Python for complex data querying and manipulation. Data Stack Familiarity: Experience with modern data stack tools (e.g., BI visualisation tools like Tableau/Looker, data pipeline tools like dbt/Airflow). Statistical Rigour: A solid foundation in statistics and a proven track record of designing, running, and interpreting A/B tests to make product decisions. Proactive Ownership: A strong sense of ownership and a self-starter mindset. You are comfortable navigating ambiguity in a fast-paced environment, adept at identifying high-impact opportunities, and skilled at prioritising your focus. Influential Communication: Exceptional communication and stakeholder management skills. You can translate complex analysis into compelling narratives that influence peers and leadership, driving data-informed decisions across the business. At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn't align perfectly with the requirements. Want to learn more? We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £7.2bn of GDP generated). You can read our full Impact Report here: To see what our customers think, visit our Trustpilot page: Why join us? At Funding Circle, we celebrate and support the differences that make you, you. We're proud to be an equal-opportunity workplace and affirmative-action employer. We truly believe that diversity makes us better. As a flexible-first employer we offer hybrid working at Funding Circle, and we've long believed in a 'best of both' approach to in-office collaboration and non-office days. We expect our teams to be in our London office three times a week, where you can take advantage of our newly refurbished hybrid working space, barista made coffee and subsidised lunches (via JustEat) every day! We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle. A few highlights: Flexibility: We provide you with a benefit allowance so that you can tailor your benefit selection to you and your family's needs. Health: Private Medical Insurance, Dental Insurance, Health Cash Plan, Health Assessments (including female fertility health assessments), eyecare vouchers, flu jabs, Wellhub (for discounted flexible gym membership and access to wellbeing apps) access to a free Employee Assistance Programme and free Digital GP for yourself and any children under 16. Wealth: Life Assurance, Income Protection, Critical Illness Cover, financial coaching through Octopus Money Coach, a tax-advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. Development: Dedicated annual Learning & Development allowance and full access to internal learning platform. Lifestyle: Electric Car Scheme, Cycle to Work scheme, Season Ticket Loans, and more! And finally, we have award winning parental leave policies supporting parents through enhanced maternity, partner and adoption leave, as well as additional leave for parental bereavement and for fertility treatments. Ready to make a difference? We'd love to hear from you.
Jan 07, 2026
Full time
Senior Product Analyst - FlexiPay & Credit Card Funding Circle is seeking a Senior Product Analyst to join our innovative FlexiPay and Credit Card team. This is a key role within the analytics function where you will have the opportunity to build data-driven strategies, drive strategic decisions and shape the future roadmap of our products. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. Our mission is to provide them with the finance they need to grow, and we've built a game-changing platform with cutting-edge data and technology that's reshaping the landscape of SME lending. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role We are looking for a data-driven and commercially-minded Product Analyst to join our dynamic analytics team, with a dedicated focus on our FlexiPay product. You will be a dedicated analytical partner to various teams across the business, including Product, Marketing, and Commercial working hand-in-hand with them to ensure the strategies for FlexiPay are grounded in robust data and insight. This is a key role where you will have the autonomy to explore data, formulate hypotheses, and see your insights directly shape and scale FlexiPay and Credit cards into core products for Funding Circle, products that thousands of businesses rely on. Responsibilities Drive Strategy with Data: Analyse user behaviour, identify trends, and provide clear, data-backed recommendations that directly influence the product roadmap and growth strategy. Champion Experimentation: Own the end-to-end process for experimentation. You will collaborate with product managers to design experiments, define success metrics, analyse results with statistical rigour, and present findings that guide product iterations. Build for Scale: Design, build, and maintain insightful and intuitive dashboards and reports that provide a clear view of product performance. Your work will empower the wider team with self-service analytics, enabling them to make faster, better-informed decisions. Be a Cross-Functional Partner: Work closely with Product Managers, Engineers, and Designers from initial discovery and ideation through to launch. You'll be the go-to data expert within your team, ensuring we are asking the right questions and measuring what matters. Define and Measure Success: Establish, monitor, and report on Key Performance Indicators (KPIs) to track product health and communicate progress towards team goals, ensuring everyone is aligned and informed. Serve as a Data Expert: Act as the primary analytical point of contact for key product areas, providing insights across the entire customer lifecycle, including user acquisition, engagement, and retention. You will proactively guide stakeholders to articulate their data needs and help them form impactful questions. Qualifications Analytical Experience: 4+ years of hands-on experience in a product analytics/data analysis role. Industry Background (Preferred): Previous experience in the financial services or fintech industry, especially in areas like retail or SME lending, is a strong plus. Technical Proficiency: Excellent proficiency in SQL and Python for complex data querying and manipulation. Data Stack Familiarity: Experience with modern data stack tools (e.g., BI visualisation tools like Tableau/Looker, data pipeline tools like dbt/Airflow). Statistical Rigour: A solid foundation in statistics and a proven track record of designing, running, and interpreting A/B tests to make product decisions. Proactive Ownership: A strong sense of ownership and a self-starter mindset. You are comfortable navigating ambiguity in a fast-paced environment, adept at identifying high-impact opportunities, and skilled at prioritising your focus. Influential Communication: Exceptional communication and stakeholder management skills. You can translate complex analysis into compelling narratives that influence peers and leadership, driving data-informed decisions across the business. At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn't align perfectly with the requirements. Want to learn more? We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £7.2bn of GDP generated). You can read our full Impact Report here: To see what our customers think, visit our Trustpilot page: Why join us? At Funding Circle, we celebrate and support the differences that make you, you. We're proud to be an equal-opportunity workplace and affirmative-action employer. We truly believe that diversity makes us better. As a flexible-first employer we offer hybrid working at Funding Circle, and we've long believed in a 'best of both' approach to in-office collaboration and non-office days. We expect our teams to be in our London office three times a week, where you can take advantage of our newly refurbished hybrid working space, barista made coffee and subsidised lunches (via JustEat) every day! We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle. A few highlights: Flexibility: We provide you with a benefit allowance so that you can tailor your benefit selection to you and your family's needs. Health: Private Medical Insurance, Dental Insurance, Health Cash Plan, Health Assessments (including female fertility health assessments), eyecare vouchers, flu jabs, Wellhub (for discounted flexible gym membership and access to wellbeing apps) access to a free Employee Assistance Programme and free Digital GP for yourself and any children under 16. Wealth: Life Assurance, Income Protection, Critical Illness Cover, financial coaching through Octopus Money Coach, a tax-advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. Development: Dedicated annual Learning & Development allowance and full access to internal learning platform. Lifestyle: Electric Car Scheme, Cycle to Work scheme, Season Ticket Loans, and more! And finally, we have award winning parental leave policies supporting parents through enhanced maternity, partner and adoption leave, as well as additional leave for parental bereavement and for fertility treatments. Ready to make a difference? We'd love to hear from you.
Associate Director, Core Banking Transformation Lead, Operations Industry & Domain Solutions, Technology & Transformation Basic information Location Bristol, Edinburgh, Glasgow, London, Manchester Business Line Job Type Permanent / FTC Date published 15-Aug-2025 20105 Connect to your Industry The banking industry has been revolutionised by digital challenger banks and a vast FinTech landscape. Digital Banking Solutions is a Deloitte Operations Industry & Domain Solutions team who adopts a technology focused approach in delivering business benefit to our clients. Our banking clients engage us to solve their most complex problems, help shape technology strategies and most importantly, to deliver those strategies through modern technology solutions. As part of this team, you'll work alongside a team of Banking specialists from across retail & commercial banking, where you will take an active role in shaping and architecting transformational solutions for our clients. You'll be working with likeminded Subject-Matter Experts and be a pivotal part of our growing solution architecture capability. Our clients range from the largest, most important Banks and Financial Institutions from across the UK, Europe, and the Middle East, to the modern digital challenger banks and the FinTech companies that help them grow. With our global alliances with key technology partners, you will help us strive to deliver modern, innovation and cutting-edge technology to our clients. Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together at Deloitte?It'show we approach the thousands of decisions we make everyday. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, whereverwe arein the world, welead the way,serve with integrity, take care of each other ,fosterinclusion, andcollaborate for measurable impact. These five shared values lead every decision wemake and action we take, guiding us to deliver impact how and where it mattersmost . Connect to your opportunity As an Associate Director, you will play a pivotal role in shaping and delivering core banking transformation projects for our clients. Your responsibilities will vary depending on the client and project phase, but will consistently involve: Leading the design and implementation of modular and composable core banking solutions: This includes understanding the client's current state, defining future state architecture, and identifying the optimal components for deployment. Deep understanding of modular architecture principles and their application in core banking ecosystem is crucial. Advising senior stakeholders throughout the assessment, selection and implementation of next-generation core banking platforms based on client need and in-depth understanding of the core banking vendor landscape: experience with platforms such as 10x, Thought Machine, Mambu & Starling engine is essential. Managing requirements gathering and solution design: You will work closely with product owners, solution architects, development teams, and programme managers, leveraging agile methodologies throughout the software delivery lifecycle. This includes backlog definition, story mapping, writing user stories and developing design documents. Appreciation of emerging technology and trends in banking with an understanding and knowledge of different players in the core banking ecosystem, ranging from specialized cores to Banking-as-Service solutions. Understanding of core banking modules, including knowledge of front, middle, and/or back-office capabilities and key trends impacting these capabilities in the market. Acting as point of contact for key Core Banking partners, managing relationships with them and ensuring their capabilities meet the need of our clients. Overseeing programme management efforts and coordinating multiple interconnected workstreams to ensure alignment and successful delivery of core banking solutions. Collaborating with engineering and platform teams on tasks such as setting up environments, configuration and supporting technical and product aspects of various core implementations. Driving data-driven decisions and process optimisation: You will leverage data analysis to inform design choices and ensure efficient processes. Mentoring and coaching team members: You will contribute to the development of our business analysis capability by guiding and supporting less experienced colleagues. Building and maintaining strong client relationships: You will collaborate effectively with stakeholders across IT, operations, and risk. Leading business development: you will lead pre-sales activities, bid preparation, requests for proposal and client presentations. Connect to your skills and professional experience You are an enthusiastic, passionate, independent thinker. These attributes will help you work with your teams to drive change and real impact in the banking industry, demonstrating your excellent communication and presentation skills. You are technically minded and enjoy solving complex problems. You enjoy challenging yourself with new problems and bring a technical mindset and skillset to reaching into the detail of complex problems to identify and deliver technical solutions. You are on the pulse of the banking industry. You are up to date on the latest banking trends and technology. You know the problems our clients face and the solutions available to resolve them. The essentials: We are recruiting candidates with the following experience: Experience of working with Next Gen Core Banking Solutions (specifically 10x, Thought Machine, Mambu, Starling Engine). Excellent stakeholder management and communication skills with the ability to engage and influence senior stakeholders and a broad range of individuals and teams across various disciplines. Experience in advising clients throughout the selection and shortlisting process of core banking solutions based on their need and deep understanding of the market landscape. Experience of core system modernisation (in particular within Banking but broader FS would be helpful) with a track record of high performance and success in your role delivering change and transformation for your end client. Experience in leading business development such as leading bids, requests for proposals, and client presentations. Experience of complex systems integration programmes preferably with FS example of this could include new core integration into existing legacy architecture and required migration activities. End user focused requirements definition/technical design experience in a banking or other highly regulated environment, leveraging agile ways of working from backlog definition, story mapping and writing epics/user stories to support the software delivery lifecycle. Experience in working with technical stakeholders to create and shape technical solution designs leveraging latest thinking on architectural approaches, e.g. modular architecture. Working closely and collaborating with internal and client stakeholders to understand and articulate challenges to implement overall vision. The Desirables: Experience or understanding of banking products, processes, and technologies in areas such as: Commercial and/or Retail banking including but not limited to; products such as payments, mortgages, lending, trade and supply chain finance, cash management and liquidity. Digital channels including but not limited to; mobile, web and Relationship Manager focused channels. Digital platforms and technologies including but not limited to; cloud, API/Microservices, data and analytics. Experience of successfully managing small teams, leading technology implementations within the banking sector and building and maintaining relationships with external stakeholders. Experienced of guiding and coaching junior talent through challenging situations and providing honest and constructive development points. Working with engineering and test teams to help translate and communicate technical designs during implementation to help deliver solutions to end users. Appreciation of emerging technology and trends in banking with an understanding and knowledge of different players in the banking ecosystem, ranging from FinTechs to established global technology providers. Proficiency with data modelling and working with UML diagrams to support design activities. Strong proficiency in key day to day applications such as Microsoft Office, Jira and Confluence. Recognised certification(s) in one of the modular core solutions such as Mambu, 10X and TM. Preferably you will also have: Industry certifications such as Scrum Master, Product Owner, BCS, ITIL, TOGAF, and Cloud certifications such as AWS/GCP/Azure among others. Proficiency or experience with a software development language e.g. Java, Python, SQL, HTML, JSON. At Deloitte we champion individuality, and we understand that our differences are what keep us strong, successful, and diverse . click apply for full job details
Jan 07, 2026
Full time
Associate Director, Core Banking Transformation Lead, Operations Industry & Domain Solutions, Technology & Transformation Basic information Location Bristol, Edinburgh, Glasgow, London, Manchester Business Line Job Type Permanent / FTC Date published 15-Aug-2025 20105 Connect to your Industry The banking industry has been revolutionised by digital challenger banks and a vast FinTech landscape. Digital Banking Solutions is a Deloitte Operations Industry & Domain Solutions team who adopts a technology focused approach in delivering business benefit to our clients. Our banking clients engage us to solve their most complex problems, help shape technology strategies and most importantly, to deliver those strategies through modern technology solutions. As part of this team, you'll work alongside a team of Banking specialists from across retail & commercial banking, where you will take an active role in shaping and architecting transformational solutions for our clients. You'll be working with likeminded Subject-Matter Experts and be a pivotal part of our growing solution architecture capability. Our clients range from the largest, most important Banks and Financial Institutions from across the UK, Europe, and the Middle East, to the modern digital challenger banks and the FinTech companies that help them grow. With our global alliances with key technology partners, you will help us strive to deliver modern, innovation and cutting-edge technology to our clients. Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together at Deloitte?It'show we approach the thousands of decisions we make everyday. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, whereverwe arein the world, welead the way,serve with integrity, take care of each other ,fosterinclusion, andcollaborate for measurable impact. These five shared values lead every decision wemake and action we take, guiding us to deliver impact how and where it mattersmost . Connect to your opportunity As an Associate Director, you will play a pivotal role in shaping and delivering core banking transformation projects for our clients. Your responsibilities will vary depending on the client and project phase, but will consistently involve: Leading the design and implementation of modular and composable core banking solutions: This includes understanding the client's current state, defining future state architecture, and identifying the optimal components for deployment. Deep understanding of modular architecture principles and their application in core banking ecosystem is crucial. Advising senior stakeholders throughout the assessment, selection and implementation of next-generation core banking platforms based on client need and in-depth understanding of the core banking vendor landscape: experience with platforms such as 10x, Thought Machine, Mambu & Starling engine is essential. Managing requirements gathering and solution design: You will work closely with product owners, solution architects, development teams, and programme managers, leveraging agile methodologies throughout the software delivery lifecycle. This includes backlog definition, story mapping, writing user stories and developing design documents. Appreciation of emerging technology and trends in banking with an understanding and knowledge of different players in the core banking ecosystem, ranging from specialized cores to Banking-as-Service solutions. Understanding of core banking modules, including knowledge of front, middle, and/or back-office capabilities and key trends impacting these capabilities in the market. Acting as point of contact for key Core Banking partners, managing relationships with them and ensuring their capabilities meet the need of our clients. Overseeing programme management efforts and coordinating multiple interconnected workstreams to ensure alignment and successful delivery of core banking solutions. Collaborating with engineering and platform teams on tasks such as setting up environments, configuration and supporting technical and product aspects of various core implementations. Driving data-driven decisions and process optimisation: You will leverage data analysis to inform design choices and ensure efficient processes. Mentoring and coaching team members: You will contribute to the development of our business analysis capability by guiding and supporting less experienced colleagues. Building and maintaining strong client relationships: You will collaborate effectively with stakeholders across IT, operations, and risk. Leading business development: you will lead pre-sales activities, bid preparation, requests for proposal and client presentations. Connect to your skills and professional experience You are an enthusiastic, passionate, independent thinker. These attributes will help you work with your teams to drive change and real impact in the banking industry, demonstrating your excellent communication and presentation skills. You are technically minded and enjoy solving complex problems. You enjoy challenging yourself with new problems and bring a technical mindset and skillset to reaching into the detail of complex problems to identify and deliver technical solutions. You are on the pulse of the banking industry. You are up to date on the latest banking trends and technology. You know the problems our clients face and the solutions available to resolve them. The essentials: We are recruiting candidates with the following experience: Experience of working with Next Gen Core Banking Solutions (specifically 10x, Thought Machine, Mambu, Starling Engine). Excellent stakeholder management and communication skills with the ability to engage and influence senior stakeholders and a broad range of individuals and teams across various disciplines. Experience in advising clients throughout the selection and shortlisting process of core banking solutions based on their need and deep understanding of the market landscape. Experience of core system modernisation (in particular within Banking but broader FS would be helpful) with a track record of high performance and success in your role delivering change and transformation for your end client. Experience in leading business development such as leading bids, requests for proposals, and client presentations. Experience of complex systems integration programmes preferably with FS example of this could include new core integration into existing legacy architecture and required migration activities. End user focused requirements definition/technical design experience in a banking or other highly regulated environment, leveraging agile ways of working from backlog definition, story mapping and writing epics/user stories to support the software delivery lifecycle. Experience in working with technical stakeholders to create and shape technical solution designs leveraging latest thinking on architectural approaches, e.g. modular architecture. Working closely and collaborating with internal and client stakeholders to understand and articulate challenges to implement overall vision. The Desirables: Experience or understanding of banking products, processes, and technologies in areas such as: Commercial and/or Retail banking including but not limited to; products such as payments, mortgages, lending, trade and supply chain finance, cash management and liquidity. Digital channels including but not limited to; mobile, web and Relationship Manager focused channels. Digital platforms and technologies including but not limited to; cloud, API/Microservices, data and analytics. Experience of successfully managing small teams, leading technology implementations within the banking sector and building and maintaining relationships with external stakeholders. Experienced of guiding and coaching junior talent through challenging situations and providing honest and constructive development points. Working with engineering and test teams to help translate and communicate technical designs during implementation to help deliver solutions to end users. Appreciation of emerging technology and trends in banking with an understanding and knowledge of different players in the banking ecosystem, ranging from FinTechs to established global technology providers. Proficiency with data modelling and working with UML diagrams to support design activities. Strong proficiency in key day to day applications such as Microsoft Office, Jira and Confluence. Recognised certification(s) in one of the modular core solutions such as Mambu, 10X and TM. Preferably you will also have: Industry certifications such as Scrum Master, Product Owner, BCS, ITIL, TOGAF, and Cloud certifications such as AWS/GCP/Azure among others. Proficiency or experience with a software development language e.g. Java, Python, SQL, HTML, JSON. At Deloitte we champion individuality, and we understand that our differences are what keep us strong, successful, and diverse . click apply for full job details
Compliance Manager (Regulatory Reporting) London Maven is a market-leading proprietary trading firm allocating internal capital across discretionary, systematic, and market making strategies. Our collective expertise spans traders, engineers, and technologists, unified by an unwavering dedication to enhance our efficiency as a premier liquidity provider for globally listed derivatives. We leverage groundbreaking execution and pricing technologies to elevate and improve how financial markets operate. Maven continues to scale its operations while preserving the dynamic energy and innovative culture of a start up, but without the associated risks. Role Overview About the Role: We are seeking a highly skilled Compliance Manager (Regulatory Reporting) to join our London office. Reporting to the Head of European Compliance, you will play a senior leadership role in delivering accurate, timely, and compliant regulatory reporting across regimes such as MiFID II /MiFIR (typically via Approved Reporting Mechanisms), EMIR, CAT, short/long transparency, and related rules for UK and EU investment firms. You will drive reporting process integrity, controls, reconciliation, and exception handling, and will work closely with technology teams to support automation of reporting and MI production. You will act as a key subject matter expert, with the flexibility for the scope of the role to evolve as regulations and business needs change. Key Responsibilities: MiFID II /MiFIR Transaction Reporting: Oversee and ensure high quality MiFID II /MiFIR transaction reporting for all in scope UK and EU investment firms (typically via Approved Reporting Mechanisms ARMs ) in accordance with Directive 2014/65/EU and Regulation (EU) 600/2014. Ensure data integrity, manage reconciliations, remediation, and error resolution. EMIR Reporting: Lead all aspects of trade and position reporting as required by EMIR (Regulation (EU) No 648/2012) and UK EMIR, including prompt reconciliations, exception handling, and ensuring reporting compliance via trade repositories. Prudential Reporting: Manage regulatory capital, liquidity, and other prudential returns for UK and EU investment firms under the IFPR, IFR/IFD, and similar regimes, ensuring timely and accurate submission of periodic returns and supporting documentation. CAT Reporting (US): Ensure accurate reporting under the Consolidated Audit Trail (CAT) regime (SEC Rule 613), including specialist data requirements, reconciliation, exception management, and cross firm collaboration for US trading activity as applicable. Short/Long Reporting and Transparency (SSR): Fulfil obligations for short and long position reporting and notification under the EU Short Selling Regulation (Regulation (EU) No 236/2012/UK SSR), FCA rules, and other relevant regimes, including position flagging, monitoring of thresholds, and preparation of disclosures. Governance of Reporting Attributes (e.g., Algo Flags, Tag 50s, Other Markers): Take ownership for ensuring the completeness, accuracy, and regulatory compliance of transaction and order level attributes required for reporting (such as algo flags, Tag 50s, and other industry standard identifiers). Establish and maintain effective governance and validation processes, perform regular reviews and audits, and work with internal and external stakeholders to resolve data quality or reporting issues. Reporting Controls, Reconciliation, and Review: Own end to end reconciliation and exception management for all core transaction and position reporting. Routinely perform data integrity reviews and support internal or external audit activity for ongoing compliance. Automation, Technology Liaison & MI Production: Collaborate effectively with technology teams to identify requirements and support the delivery of automated solutions for regulatory reporting and reconciliation. Drive the production of high quality management information (MI), supporting senior management, compliance, and regulatory needs. Broader Reporting Scope & Change: Support, as required, reporting under additional regimes (such as commodity position limits, Dodd Frank, SEC 13F/13H, etc.), participate in regulatory change projects, and keep abreast of and prepare for evolving regulatory requirements and new reporting obligations. Stakeholder Engagement: Act as SME for key reporting regimes; provide advice and training across the business; support senior leadership, audit, and regulatory inquiries as required. Skills and Experience: At least 5+ years regulatory reporting experience for investment firms or asset managers, with detailed expertise in at least one area such as MiFID II /MiFIR, EMIR, CAT, or short/long transparency. Strong working knowledge of multiple regulatory regimes listed above, and proven ability to develop expertise in new reporting regimes as they arise. Advanced experience in the governance, review, and validation of regulatory transaction and order attributes (e.g., algo flags, Tag 50s, other identifiers). Advanced knowledge of transaction and trade reporting operations, exception management, reconciliations, and troubleshooting. Experience with reporting reconciliation, periodic/ad hoc review, and audit support. Ability to produce high quality management information (MI) for compliance, management, and regulatory purposes. Advanced Excel/data analysis skills and use of data to support both reporting and MI. Technical/programming skills (Python/SQL) for data analysis (not for reporting automation). Strong track record of collaborating with technology teams to deliver and support automated reporting and MI solutions. Excellent attention to detail, critical thinking, and communication skills-comfortable with technical, management, and regulatory stakeholders. Experience with additional regimes/standards (e.g., Dodd Frank, SEC 13F/13H, commodity position limits). Experience with prudential reporting standards (e.g., COREP/FINREP), and with regulatory reporting vendors/platforms such as UnaVista, DTCC, MarketAxess. Experience supporting regulatory change/business transformation projects. What We Offer: A great environment wherein technology is key to our success The upside of a start up without the associated risks Friendly, informal and highly rewarding culture A fast growing global firm with plenty of opportunities where you will have a significant impact Maven is committed to creating a diverse and inclusive culture for our employees. It is crucial for us to understand the demographics of our candidate pool to measure our recruitment practices. There is no requirement for any candidate to answer our demographic questions. For candidates who complete the questionnaire, their data will be anonymised and used only in the aggregate to inform our attraction strategy. Maven is an equal opportunity employer and this data will be used for opportunity monitoring purposes.
Jan 07, 2026
Full time
Compliance Manager (Regulatory Reporting) London Maven is a market-leading proprietary trading firm allocating internal capital across discretionary, systematic, and market making strategies. Our collective expertise spans traders, engineers, and technologists, unified by an unwavering dedication to enhance our efficiency as a premier liquidity provider for globally listed derivatives. We leverage groundbreaking execution and pricing technologies to elevate and improve how financial markets operate. Maven continues to scale its operations while preserving the dynamic energy and innovative culture of a start up, but without the associated risks. Role Overview About the Role: We are seeking a highly skilled Compliance Manager (Regulatory Reporting) to join our London office. Reporting to the Head of European Compliance, you will play a senior leadership role in delivering accurate, timely, and compliant regulatory reporting across regimes such as MiFID II /MiFIR (typically via Approved Reporting Mechanisms), EMIR, CAT, short/long transparency, and related rules for UK and EU investment firms. You will drive reporting process integrity, controls, reconciliation, and exception handling, and will work closely with technology teams to support automation of reporting and MI production. You will act as a key subject matter expert, with the flexibility for the scope of the role to evolve as regulations and business needs change. Key Responsibilities: MiFID II /MiFIR Transaction Reporting: Oversee and ensure high quality MiFID II /MiFIR transaction reporting for all in scope UK and EU investment firms (typically via Approved Reporting Mechanisms ARMs ) in accordance with Directive 2014/65/EU and Regulation (EU) 600/2014. Ensure data integrity, manage reconciliations, remediation, and error resolution. EMIR Reporting: Lead all aspects of trade and position reporting as required by EMIR (Regulation (EU) No 648/2012) and UK EMIR, including prompt reconciliations, exception handling, and ensuring reporting compliance via trade repositories. Prudential Reporting: Manage regulatory capital, liquidity, and other prudential returns for UK and EU investment firms under the IFPR, IFR/IFD, and similar regimes, ensuring timely and accurate submission of periodic returns and supporting documentation. CAT Reporting (US): Ensure accurate reporting under the Consolidated Audit Trail (CAT) regime (SEC Rule 613), including specialist data requirements, reconciliation, exception management, and cross firm collaboration for US trading activity as applicable. Short/Long Reporting and Transparency (SSR): Fulfil obligations for short and long position reporting and notification under the EU Short Selling Regulation (Regulation (EU) No 236/2012/UK SSR), FCA rules, and other relevant regimes, including position flagging, monitoring of thresholds, and preparation of disclosures. Governance of Reporting Attributes (e.g., Algo Flags, Tag 50s, Other Markers): Take ownership for ensuring the completeness, accuracy, and regulatory compliance of transaction and order level attributes required for reporting (such as algo flags, Tag 50s, and other industry standard identifiers). Establish and maintain effective governance and validation processes, perform regular reviews and audits, and work with internal and external stakeholders to resolve data quality or reporting issues. Reporting Controls, Reconciliation, and Review: Own end to end reconciliation and exception management for all core transaction and position reporting. Routinely perform data integrity reviews and support internal or external audit activity for ongoing compliance. Automation, Technology Liaison & MI Production: Collaborate effectively with technology teams to identify requirements and support the delivery of automated solutions for regulatory reporting and reconciliation. Drive the production of high quality management information (MI), supporting senior management, compliance, and regulatory needs. Broader Reporting Scope & Change: Support, as required, reporting under additional regimes (such as commodity position limits, Dodd Frank, SEC 13F/13H, etc.), participate in regulatory change projects, and keep abreast of and prepare for evolving regulatory requirements and new reporting obligations. Stakeholder Engagement: Act as SME for key reporting regimes; provide advice and training across the business; support senior leadership, audit, and regulatory inquiries as required. Skills and Experience: At least 5+ years regulatory reporting experience for investment firms or asset managers, with detailed expertise in at least one area such as MiFID II /MiFIR, EMIR, CAT, or short/long transparency. Strong working knowledge of multiple regulatory regimes listed above, and proven ability to develop expertise in new reporting regimes as they arise. Advanced experience in the governance, review, and validation of regulatory transaction and order attributes (e.g., algo flags, Tag 50s, other identifiers). Advanced knowledge of transaction and trade reporting operations, exception management, reconciliations, and troubleshooting. Experience with reporting reconciliation, periodic/ad hoc review, and audit support. Ability to produce high quality management information (MI) for compliance, management, and regulatory purposes. Advanced Excel/data analysis skills and use of data to support both reporting and MI. Technical/programming skills (Python/SQL) for data analysis (not for reporting automation). Strong track record of collaborating with technology teams to deliver and support automated reporting and MI solutions. Excellent attention to detail, critical thinking, and communication skills-comfortable with technical, management, and regulatory stakeholders. Experience with additional regimes/standards (e.g., Dodd Frank, SEC 13F/13H, commodity position limits). Experience with prudential reporting standards (e.g., COREP/FINREP), and with regulatory reporting vendors/platforms such as UnaVista, DTCC, MarketAxess. Experience supporting regulatory change/business transformation projects. What We Offer: A great environment wherein technology is key to our success The upside of a start up without the associated risks Friendly, informal and highly rewarding culture A fast growing global firm with plenty of opportunities where you will have a significant impact Maven is committed to creating a diverse and inclusive culture for our employees. It is crucial for us to understand the demographics of our candidate pool to measure our recruitment practices. There is no requirement for any candidate to answer our demographic questions. For candidates who complete the questionnaire, their data will be anonymised and used only in the aggregate to inform our attraction strategy. Maven is an equal opportunity employer and this data will be used for opportunity monitoring purposes.
Job title: Trading Analyst (LPG) Location: London, UK Job reference #: 31989 Contract type: Permanent Language requirements: Fluent level of English At Eni, we are looking for a Trading Analyst to join Eni Trade & Biofuels (ETB) in London, UK. As a member of the Products Trading team, you will be responsible for providing assistance to traders and managers, preparing reports, conducting research and performing calculations. You will also be expected to handle various ad hoc requests assigned by the team or your line manager, contributing to the smooth and efficient operation of trading activities. About Eni Trade & Biofuels ETB is at the cutting edge of sustainability and innovation in the global energy market. As a dynamic force within the Eni group, which is a leader in the energy transition, at ETB we are rapidly establishing ourselves as a key player in the new energy landscape. When you join ETB, you become part of Eni - a leading global energy company with over 32,000 employees in 61 countries. Eni is at the forefront of the energy industry, specializing in exploration, production, transport, marketing and trading of oil, natural gas and biofuels. ETB is the crude oil, refined oil products and biofuels trading and shipping company of Eni. We are a diverse and dynamic team of around 300 professionals distributed in three offices (Rome, London and Singapore) with the addition in Houston of Eni Trading & Shipping Inc. (ETS Inc) which handles marketing of oils and petroleum products for the US market. Our team is also involved in marketing Eni's oil equity productions, sourcing hydrocarbons and bio feedstocks, and managing the output of our traditional and green refineries. Main responsibilities: Provide support to traders: Analyse market data to support the development and execution of trades. Ensure exposure positions and P&L reports are accurate. Ensure physical and derivatives transactions are booked accurately. Set up, maintain, and improve a cargo tracking system (vessels' B/L, destination, WS rate). Liaise with Middle Office for P&L, exposure and pricing reconciliation. Prepare various reports, spreadsheets, and research projects: Conduct market analysis (supply and demand, global crack spreads, margins). Deliver weekly internal presentations on P&L, physical and paper activity. Update daily Excel sheets reflecting market structure and movements. Perform arbitrage and crack spread calculations. Track refinery turnarounds. Monitor and report on shipping cargoes. Additional responsibilities may include: Risk management and market monitoring. Liaising with the Shipping Department, Operations, Contracts and other Trading desks, including overseas offices in Houston and Singapore, as instructed by traders. Interacting with counterparties (including Eni Group divisions) as instructed by traders. Skills and experience required: University degree in a quantitative discipline ( e.g Engineering, Mathematics, Statistics, Physics, Economics, Finance, or related). Prior experience in a role related to oil trading / analysis. Strong knowledge of oil products, LPG would be an advantage. Advanced knowledge of Excel/VBA; knowledge of SQL and Python would be an advantage. Results-oriented, proactive and responsible approach, able to work with a strong attention to detail in a fast-paced environment. Strong communication and interpersonal skills, a strong team player with a positive attitude. Demonstrated drive, innovation, and a genuine interest in energy and trading. Fluent level of English. Why ETB? Impactful Work: Join a team that plays a crucial role in Eni's Net Zero 2050 strategy, benefiting from Eni's strong trading position and global integration. Collaborative Culture: Experience a truly multicultural, supportive, and dynamic work environment. Career Growth: Rapid learning opportunities with potential for movement across teams and international roles. Work-Life Balance: Enjoy a balanced lifestyle with a comprehensive benefits package that may include health, well-being, and flexible working options. How to apply: Applications are only accepted through our online application system. Please upload your CV in English. About Eni Eni is a global energy company operating in 61 Countries, with over 30,000 employees. Originally an oil & gas company, it has evolved into an integrated energy company, playing a key role in ensuring energy security and leading the energy transition. Eni's goal is to achieve carbon neutrality by 2050 through the decarbonization of its processes and of the products it sells to its customers. In line with this goal, Eni invests in the research and development of technologies that can accelerate the transition to increasingly sustainable energy. Renewable energy sources, bio-refining, carbon capture and storage are only some examples of Eni's areas of activity and research. In addition, the company is exploring game-changing technologies such as fusion energy - a technology based on the physical processes that power stars and that could generate safe, virtually limitless energy with zero emissions. Working at Eni At Eni we believe in enterprising people, capable of making a difference and making their contribution with passion and innovation, to respond to the global challenges of the energy transition. For us, the skills and attitudes of each individua l , continuous training , and diversity and inclusion are fundamental. We promote flexible ways of working with particular attention to well-being, welfare and work life-balance. Eni will evaluate applications considering plurality and diversity as sources of enrichment. If your application is assessed to be among those most in line with the required profile, you will be contacted to continue the selection process. Whatever your ambition, at Eni you can find the tools to make it happen. Energy for action takers
Jan 07, 2026
Full time
Job title: Trading Analyst (LPG) Location: London, UK Job reference #: 31989 Contract type: Permanent Language requirements: Fluent level of English At Eni, we are looking for a Trading Analyst to join Eni Trade & Biofuels (ETB) in London, UK. As a member of the Products Trading team, you will be responsible for providing assistance to traders and managers, preparing reports, conducting research and performing calculations. You will also be expected to handle various ad hoc requests assigned by the team or your line manager, contributing to the smooth and efficient operation of trading activities. About Eni Trade & Biofuels ETB is at the cutting edge of sustainability and innovation in the global energy market. As a dynamic force within the Eni group, which is a leader in the energy transition, at ETB we are rapidly establishing ourselves as a key player in the new energy landscape. When you join ETB, you become part of Eni - a leading global energy company with over 32,000 employees in 61 countries. Eni is at the forefront of the energy industry, specializing in exploration, production, transport, marketing and trading of oil, natural gas and biofuels. ETB is the crude oil, refined oil products and biofuels trading and shipping company of Eni. We are a diverse and dynamic team of around 300 professionals distributed in three offices (Rome, London and Singapore) with the addition in Houston of Eni Trading & Shipping Inc. (ETS Inc) which handles marketing of oils and petroleum products for the US market. Our team is also involved in marketing Eni's oil equity productions, sourcing hydrocarbons and bio feedstocks, and managing the output of our traditional and green refineries. Main responsibilities: Provide support to traders: Analyse market data to support the development and execution of trades. Ensure exposure positions and P&L reports are accurate. Ensure physical and derivatives transactions are booked accurately. Set up, maintain, and improve a cargo tracking system (vessels' B/L, destination, WS rate). Liaise with Middle Office for P&L, exposure and pricing reconciliation. Prepare various reports, spreadsheets, and research projects: Conduct market analysis (supply and demand, global crack spreads, margins). Deliver weekly internal presentations on P&L, physical and paper activity. Update daily Excel sheets reflecting market structure and movements. Perform arbitrage and crack spread calculations. Track refinery turnarounds. Monitor and report on shipping cargoes. Additional responsibilities may include: Risk management and market monitoring. Liaising with the Shipping Department, Operations, Contracts and other Trading desks, including overseas offices in Houston and Singapore, as instructed by traders. Interacting with counterparties (including Eni Group divisions) as instructed by traders. Skills and experience required: University degree in a quantitative discipline ( e.g Engineering, Mathematics, Statistics, Physics, Economics, Finance, or related). Prior experience in a role related to oil trading / analysis. Strong knowledge of oil products, LPG would be an advantage. Advanced knowledge of Excel/VBA; knowledge of SQL and Python would be an advantage. Results-oriented, proactive and responsible approach, able to work with a strong attention to detail in a fast-paced environment. Strong communication and interpersonal skills, a strong team player with a positive attitude. Demonstrated drive, innovation, and a genuine interest in energy and trading. Fluent level of English. Why ETB? Impactful Work: Join a team that plays a crucial role in Eni's Net Zero 2050 strategy, benefiting from Eni's strong trading position and global integration. Collaborative Culture: Experience a truly multicultural, supportive, and dynamic work environment. Career Growth: Rapid learning opportunities with potential for movement across teams and international roles. Work-Life Balance: Enjoy a balanced lifestyle with a comprehensive benefits package that may include health, well-being, and flexible working options. How to apply: Applications are only accepted through our online application system. Please upload your CV in English. About Eni Eni is a global energy company operating in 61 Countries, with over 30,000 employees. Originally an oil & gas company, it has evolved into an integrated energy company, playing a key role in ensuring energy security and leading the energy transition. Eni's goal is to achieve carbon neutrality by 2050 through the decarbonization of its processes and of the products it sells to its customers. In line with this goal, Eni invests in the research and development of technologies that can accelerate the transition to increasingly sustainable energy. Renewable energy sources, bio-refining, carbon capture and storage are only some examples of Eni's areas of activity and research. In addition, the company is exploring game-changing technologies such as fusion energy - a technology based on the physical processes that power stars and that could generate safe, virtually limitless energy with zero emissions. Working at Eni At Eni we believe in enterprising people, capable of making a difference and making their contribution with passion and innovation, to respond to the global challenges of the energy transition. For us, the skills and attitudes of each individua l , continuous training , and diversity and inclusion are fundamental. We promote flexible ways of working with particular attention to well-being, welfare and work life-balance. Eni will evaluate applications considering plurality and diversity as sources of enrichment. If your application is assessed to be among those most in line with the required profile, you will be contacted to continue the selection process. Whatever your ambition, at Eni you can find the tools to make it happen. Energy for action takers
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications: Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Jan 06, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications: Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
is a smart financial app designed for your everyday life - at home and on the go. We make payments, online shopping, and personal finance management fast, secure, and effortless. With ZEN, you can enjoy cashback on purchases, full control over your spending, and peace of mind thanks to purchase protection. A built-in multi-currency account lets you spend abroad or shop internationally with great exchange rates and no hidden fees. About the role The Senior FX Manager will be a critical leader in our Commercial Finance, Treasury and Product teams, responsible for the strategic analysis, pricing, and execution of our Foreign Exchange and cross-border payment offerings. This role requires a blend of deep market expertise, strong analytical skills, and proven leadership ability to drive critical and optimized business decisions. Key Responsibilities FX Pricing & Profitability: Own the end-to-end FX pricing strategy for retail and business products (multi-currency accounts, payments, and in-app exchange), ensuring competitiveness, compliance, and optimal margin capture. This includes setting dynamic spreads and developing tiered pricing structures based on customer segmentation and market conditions. Customer Behavior & Needs Analysis (Strengthened Focus): Deep Customer Segmentation: Conduct granular analysis of the existing customer base (both consumer and business) to understand FX consumption patterns, frequency, average volume, and preferred exchange corridors. Behavioral Modeling: Utilize data to model and predict future FX needs and behavioral triggers (e.g., wallet top-ups, international commerce payments) to inform proactive liquidity positioning and optimize customer-facing exchange rates. Pricing Elasticity: Analyze the price sensitivity of different customer segments to FX spreads and fees to drive volume growth while maximizing profit. Market Analysis & Insights: Conduct deep-dive analysis on global macroeconomic trends, central bank policies, and market liquidity to generate actionable insights and forecasting models for proprietary risk management and product development. Present concise daily market updates to internal trading and product teams. Hedge Management: Develop and execute advanced hedging strategies (e.g., limit orders, forwards, NDFs, options) to mitigate currency risk exposure across ZEN's balance sheet and operational cash flows. Oversee the calculation of FX exposure and manage counterparty relationships for execution. System Optimization: Work closely with engineering and product teams to enhance and automate our internal FX trading and settlement infrastructure, ensuring best-in-class execution, minimal slippage, and efficient straight-through processing (STP). Act as the FX SME for the implementation of new trading algorithms or liquidity connectors. Reporting & Governance: Design, produce, and present detailed FX performance reports to senior management, highlighting revenue drivers, cost of funds, hedging effectiveness, and adherence to risk limits. Cross-Functional & Product Collaboration (Strengthened Focus): Serve as the primary FX subject matter expert (SME) for critical cross-functional teams. Customer-Centric Product Design: Proactively use insights derived from customer FX behavior analysis to inform and champion the development of new multi-currency product features, new payment corridors, and improved in-app exchange experiences that directly address expressed customer needs. Translate complex regulatory or market dynamics into clear, actionable requirements and business specifications for product development. Regulatory Liaison: Stay abreast of evolving global FX regulations (e.g., T+1, MiFID II, PSD2, local payment regulations) and collaborate with the Compliance Officer to ensure ZEN's FX activities remain fully compliant across all operating jurisdictions. Counterparty Relationship Management: Manage and monitor relationships with Liquidity Providers (LPs) and banking partners, evaluating their pricing quality, execution reliability, and credit lines to ensure ZEN has the most efficient access to the FX market. Required Qualifications & Skills Experience: Minimum 5-7 years of direct experience in FX analysis, Treasury, or a quantitative FX trading role, with at least 2 years in a managerial or senior lead position, preferably within a fintech, neobank, or e-money institution. Education: Bachelor's degree in Finance, Economics, Quantitative Analysis, or a related field. An advanced degree (Master's) or a professional certification (e.g., CFA, FRM, or Ariel Certification in Quantitative Finance) is highly advantageous. Technical Expertise: Expert proficiency in data analysis tools, specifically SQL for data extraction and modeling. Demonstrable experience building and maintaining quantitative models for FX pricing, forecasting, or risk measurement (Python or R proficiency is a significant plus). In-depth knowledge of FX execution platforms, including best execution principles, matching engines, and API connectivity. Fintech Acumen: Deep understanding of the payments and cross-border FX ecosystem, including liquidity management, FX pricing methodologies, and the application of technology (API integration, cloud infrastructure) in a regulated environment. Communication: Exceptional analytical report writing and presentation skills, with the ability to clearly articulate complex financial concepts and customer-derived insights to executive stakeholders and technical teams.
Jan 06, 2026
Full time
is a smart financial app designed for your everyday life - at home and on the go. We make payments, online shopping, and personal finance management fast, secure, and effortless. With ZEN, you can enjoy cashback on purchases, full control over your spending, and peace of mind thanks to purchase protection. A built-in multi-currency account lets you spend abroad or shop internationally with great exchange rates and no hidden fees. About the role The Senior FX Manager will be a critical leader in our Commercial Finance, Treasury and Product teams, responsible for the strategic analysis, pricing, and execution of our Foreign Exchange and cross-border payment offerings. This role requires a blend of deep market expertise, strong analytical skills, and proven leadership ability to drive critical and optimized business decisions. Key Responsibilities FX Pricing & Profitability: Own the end-to-end FX pricing strategy for retail and business products (multi-currency accounts, payments, and in-app exchange), ensuring competitiveness, compliance, and optimal margin capture. This includes setting dynamic spreads and developing tiered pricing structures based on customer segmentation and market conditions. Customer Behavior & Needs Analysis (Strengthened Focus): Deep Customer Segmentation: Conduct granular analysis of the existing customer base (both consumer and business) to understand FX consumption patterns, frequency, average volume, and preferred exchange corridors. Behavioral Modeling: Utilize data to model and predict future FX needs and behavioral triggers (e.g., wallet top-ups, international commerce payments) to inform proactive liquidity positioning and optimize customer-facing exchange rates. Pricing Elasticity: Analyze the price sensitivity of different customer segments to FX spreads and fees to drive volume growth while maximizing profit. Market Analysis & Insights: Conduct deep-dive analysis on global macroeconomic trends, central bank policies, and market liquidity to generate actionable insights and forecasting models for proprietary risk management and product development. Present concise daily market updates to internal trading and product teams. Hedge Management: Develop and execute advanced hedging strategies (e.g., limit orders, forwards, NDFs, options) to mitigate currency risk exposure across ZEN's balance sheet and operational cash flows. Oversee the calculation of FX exposure and manage counterparty relationships for execution. System Optimization: Work closely with engineering and product teams to enhance and automate our internal FX trading and settlement infrastructure, ensuring best-in-class execution, minimal slippage, and efficient straight-through processing (STP). Act as the FX SME for the implementation of new trading algorithms or liquidity connectors. Reporting & Governance: Design, produce, and present detailed FX performance reports to senior management, highlighting revenue drivers, cost of funds, hedging effectiveness, and adherence to risk limits. Cross-Functional & Product Collaboration (Strengthened Focus): Serve as the primary FX subject matter expert (SME) for critical cross-functional teams. Customer-Centric Product Design: Proactively use insights derived from customer FX behavior analysis to inform and champion the development of new multi-currency product features, new payment corridors, and improved in-app exchange experiences that directly address expressed customer needs. Translate complex regulatory or market dynamics into clear, actionable requirements and business specifications for product development. Regulatory Liaison: Stay abreast of evolving global FX regulations (e.g., T+1, MiFID II, PSD2, local payment regulations) and collaborate with the Compliance Officer to ensure ZEN's FX activities remain fully compliant across all operating jurisdictions. Counterparty Relationship Management: Manage and monitor relationships with Liquidity Providers (LPs) and banking partners, evaluating their pricing quality, execution reliability, and credit lines to ensure ZEN has the most efficient access to the FX market. Required Qualifications & Skills Experience: Minimum 5-7 years of direct experience in FX analysis, Treasury, or a quantitative FX trading role, with at least 2 years in a managerial or senior lead position, preferably within a fintech, neobank, or e-money institution. Education: Bachelor's degree in Finance, Economics, Quantitative Analysis, or a related field. An advanced degree (Master's) or a professional certification (e.g., CFA, FRM, or Ariel Certification in Quantitative Finance) is highly advantageous. Technical Expertise: Expert proficiency in data analysis tools, specifically SQL for data extraction and modeling. Demonstrable experience building and maintaining quantitative models for FX pricing, forecasting, or risk measurement (Python or R proficiency is a significant plus). In-depth knowledge of FX execution platforms, including best execution principles, matching engines, and API connectivity. Fintech Acumen: Deep understanding of the payments and cross-border FX ecosystem, including liquidity management, FX pricing methodologies, and the application of technology (API integration, cloud infrastructure) in a regulated environment. Communication: Exceptional analytical report writing and presentation skills, with the ability to clearly articulate complex financial concepts and customer-derived insights to executive stakeholders and technical teams.
is a smart financial app designed for your everyday life - at home and on the go. We make payments, online shopping, and personal finance management fast, secure, and effortless. With ZEN, you can enjoy cashback on purchases, full control over your spending, and peace of mind thanks to purchase protection. A built-in multi-currency account lets you spend abroad or shop internationally with great exchange rates and no hidden fees. About the role The Senior FX Manager will be a critical leader in our Commercial Finance, Treasury and Product teams, responsible for the strategic analysis, pricing, and execution of our Foreign Exchange and cross-border payment offerings. This role requires a blend of deep market expertise, strong analytical skills, and proven leadership ability drive critical and optimized business decisions. Key Responsibilities FX Pricing & Profitability: Own the end-to-end FX pricing strategy for retail and business products (multi-currency accounts, payments, and in-app exchange), ensuring competitiveness, compliance, and optimal margin capture. This includes setting dynamic spreads and developing tiered pricing structures based on customer segmentation and market conditions. Customer Behavior & Needs Analysis (Strengthened Focus): Deep Customer Segmentation: Conduct granular analysis of the existing customer base (both consumer and business) to understand FX consumption patterns, frequency, average volume, and preferred exchange corridors. Behavioral Modeling: Utilize data to model and predict future FX needs and behavioral triggers (e.g., wallet top-ups, international commerce payments) to inform proactive liquidity positioning and optimize customer-facing exchange rates. Pricing Elasticity: Analyze the price sensitivity of different customer segments to FX spreads and fees to drive volume growth while maximizing profit. Market Analysis & Insights: Conduct deep-dive analysis on global macroeconomic trends, central bank policies, and market liquidity to generate actionable insights and forecasting models for proprietary risk management and product development. Present concise daily market updates to internal trading and product teams. Hedge Management: Develop and execute advanced hedging strategies (e.g., limit orders, forwards, NDFs, options) to mitigate currency risk exposure across ZEN's balance sheet and operational cash flows. Oversee the calculation of FX exposure and manage counterparty relationships for execution. System Optimization: Work closely with engineering and product teams to enhance and automate our internal FX trading and settlement infrastructure, ensuring best-in-class execution, minimal slippage, and efficient straight-through processing (STP). Act as the FX SME for the implementation of new trading algorithms or liquidity connectors. Reporting & Governance: Design, produce, and present detailed FX performance reports to senior management, highlighting revenue drivers, cost of funds, hedging effectiveness, and adherence to risk limits. Cross-Functional & Product Collaboration (Strengthened Focus): Serve as the primary FX subject matter expert (SME) for critical cross-functional teams. Customer-Centric Product Design: Proactively use insights derived from customer FX behavior analysis to inform and champion the development of new multi-currency product features, new payment corridors, and improved in-app exchange experiences that directly address expressed customer needs. Translate complex regulatory or market dynamics into clear, actionable requirements and business specifications for product development. Counterparty Relationship Management: Manage and monitor relationships with Liquidity Providers (LPs) and banking partners, evaluating their pricing quality, execution reliability, and credit lines to ensure ZEN has the most efficient access to the FX market. Required Qualifications & Skills Experience: Minimum 5-7 years of direct experience in FX analysis, Treasury, or a quantitative FX trading role, with at least 2 years in a managerial or senior lead position, preferably within a fintech, neobank, or e-money institution. Education: Bachelor's degree in Finance, Economics, Quantitative Analysis, or a related field. An advanced degree (Master's) or a professional certification (e.g., CFA, FRM, or Ariel Certification in Quantitative Finance) is highly advantageous. Technical Expertise: Expert proficiency in data analysis tools, specifically SQL for data extraction and modeling. Demonstrable experience building and maintaining quantitative models for FX pricing, forecasting, or risk measurement (Python or R proficiency is a significant plus). In-depth knowledge of FX execution platforms, including best execution principles, matching engines, and API connectivity. Fintech Acumen: Deep understanding of the payments and cross-border FX ecosystem, including liquidity management, FX pricing methodologies, and the application of technology (API integration, cloud infrastructure) in a regulated environment. Communication: Exceptional analytical report writing and presentation skills, with the ability to clearly articulate complex financial concepts and customer-derived insights to executive stakeholders and technical teams.
Jan 06, 2026
Full time
is a smart financial app designed for your everyday life - at home and on the go. We make payments, online shopping, and personal finance management fast, secure, and effortless. With ZEN, you can enjoy cashback on purchases, full control over your spending, and peace of mind thanks to purchase protection. A built-in multi-currency account lets you spend abroad or shop internationally with great exchange rates and no hidden fees. About the role The Senior FX Manager will be a critical leader in our Commercial Finance, Treasury and Product teams, responsible for the strategic analysis, pricing, and execution of our Foreign Exchange and cross-border payment offerings. This role requires a blend of deep market expertise, strong analytical skills, and proven leadership ability drive critical and optimized business decisions. Key Responsibilities FX Pricing & Profitability: Own the end-to-end FX pricing strategy for retail and business products (multi-currency accounts, payments, and in-app exchange), ensuring competitiveness, compliance, and optimal margin capture. This includes setting dynamic spreads and developing tiered pricing structures based on customer segmentation and market conditions. Customer Behavior & Needs Analysis (Strengthened Focus): Deep Customer Segmentation: Conduct granular analysis of the existing customer base (both consumer and business) to understand FX consumption patterns, frequency, average volume, and preferred exchange corridors. Behavioral Modeling: Utilize data to model and predict future FX needs and behavioral triggers (e.g., wallet top-ups, international commerce payments) to inform proactive liquidity positioning and optimize customer-facing exchange rates. Pricing Elasticity: Analyze the price sensitivity of different customer segments to FX spreads and fees to drive volume growth while maximizing profit. Market Analysis & Insights: Conduct deep-dive analysis on global macroeconomic trends, central bank policies, and market liquidity to generate actionable insights and forecasting models for proprietary risk management and product development. Present concise daily market updates to internal trading and product teams. Hedge Management: Develop and execute advanced hedging strategies (e.g., limit orders, forwards, NDFs, options) to mitigate currency risk exposure across ZEN's balance sheet and operational cash flows. Oversee the calculation of FX exposure and manage counterparty relationships for execution. System Optimization: Work closely with engineering and product teams to enhance and automate our internal FX trading and settlement infrastructure, ensuring best-in-class execution, minimal slippage, and efficient straight-through processing (STP). Act as the FX SME for the implementation of new trading algorithms or liquidity connectors. Reporting & Governance: Design, produce, and present detailed FX performance reports to senior management, highlighting revenue drivers, cost of funds, hedging effectiveness, and adherence to risk limits. Cross-Functional & Product Collaboration (Strengthened Focus): Serve as the primary FX subject matter expert (SME) for critical cross-functional teams. Customer-Centric Product Design: Proactively use insights derived from customer FX behavior analysis to inform and champion the development of new multi-currency product features, new payment corridors, and improved in-app exchange experiences that directly address expressed customer needs. Translate complex regulatory or market dynamics into clear, actionable requirements and business specifications for product development. Counterparty Relationship Management: Manage and monitor relationships with Liquidity Providers (LPs) and banking partners, evaluating their pricing quality, execution reliability, and credit lines to ensure ZEN has the most efficient access to the FX market. Required Qualifications & Skills Experience: Minimum 5-7 years of direct experience in FX analysis, Treasury, or a quantitative FX trading role, with at least 2 years in a managerial or senior lead position, preferably within a fintech, neobank, or e-money institution. Education: Bachelor's degree in Finance, Economics, Quantitative Analysis, or a related field. An advanced degree (Master's) or a professional certification (e.g., CFA, FRM, or Ariel Certification in Quantitative Finance) is highly advantageous. Technical Expertise: Expert proficiency in data analysis tools, specifically SQL for data extraction and modeling. Demonstrable experience building and maintaining quantitative models for FX pricing, forecasting, or risk measurement (Python or R proficiency is a significant plus). In-depth knowledge of FX execution platforms, including best execution principles, matching engines, and API connectivity. Fintech Acumen: Deep understanding of the payments and cross-border FX ecosystem, including liquidity management, FX pricing methodologies, and the application of technology (API integration, cloud infrastructure) in a regulated environment. Communication: Exceptional analytical report writing and presentation skills, with the ability to clearly articulate complex financial concepts and customer-derived insights to executive stakeholders and technical teams.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are seeking a skilled and proactive Data Integration Engineer to join the Neftex Technical Services team. Reporting to the Team Lead the Data Integration Engineer will be responsible for designing, building, and maintaining robust data pipelines and integration frameworks that connect diverse systems including LLMs and a proprietary Data Integration solution. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities: Design and implement scalable data integration solutions using ETL/ELT tools and APIs Develop and maintain data pipelines that include Large Language Models (LLMs) Build solutions that include cloud and on-premises environments Collaborate with data architects, analysts, and business stakeholders to understand data requirements Integrate data from various sources including databases, SaaS platforms, APIs, and flat files Monitor and optimize data flows for performance, reliability, and cost-efficiency Ensure data quality, consistency, and governance across integrated systems Automate data workflows and support real-time data streaming Document integration processes and maintain technical specification Qualifications Qualifications & Experience: 3+ years' experience working with database and related tools Strong proficiency with data virtualisation platforms and tools such as Teiid or similar Solid understanding of SQL, relational databases, and data modelling Experience with cloud platforms (AWS, Azure) and cloud-native data services Familiarity with RESTful APIs, JSON, XML, OData, and message queues (Kafka) Knowledge of data governance, security, and compliance best practices Preferred Skills: Experience with cloud-based database solutions. Understanding of data lifecycle management and SOC2 security standards. Familiarity with geoscience disciplines, geospatial data and GIS tools (e.g., ArcGIS, QGIS) is advantageous. Scripting and automation (e.g., PowerShell, Python, Java). Experience with Gitlab. Knowledge of Spotfire data visualization platform or alternative dashboard solutions. Awareness of Agile delivery methodologies. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204269 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Jan 06, 2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are seeking a skilled and proactive Data Integration Engineer to join the Neftex Technical Services team. Reporting to the Team Lead the Data Integration Engineer will be responsible for designing, building, and maintaining robust data pipelines and integration frameworks that connect diverse systems including LLMs and a proprietary Data Integration solution. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities: Design and implement scalable data integration solutions using ETL/ELT tools and APIs Develop and maintain data pipelines that include Large Language Models (LLMs) Build solutions that include cloud and on-premises environments Collaborate with data architects, analysts, and business stakeholders to understand data requirements Integrate data from various sources including databases, SaaS platforms, APIs, and flat files Monitor and optimize data flows for performance, reliability, and cost-efficiency Ensure data quality, consistency, and governance across integrated systems Automate data workflows and support real-time data streaming Document integration processes and maintain technical specification Qualifications Qualifications & Experience: 3+ years' experience working with database and related tools Strong proficiency with data virtualisation platforms and tools such as Teiid or similar Solid understanding of SQL, relational databases, and data modelling Experience with cloud platforms (AWS, Azure) and cloud-native data services Familiarity with RESTful APIs, JSON, XML, OData, and message queues (Kafka) Knowledge of data governance, security, and compliance best practices Preferred Skills: Experience with cloud-based database solutions. Understanding of data lifecycle management and SOC2 security standards. Familiarity with geoscience disciplines, geospatial data and GIS tools (e.g., ArcGIS, QGIS) is advantageous. Scripting and automation (e.g., PowerShell, Python, Java). Experience with Gitlab. Knowledge of Spotfire data visualization platform or alternative dashboard solutions. Awareness of Agile delivery methodologies. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204269 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Jan 05, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
A Data Scientist to join the Schroders Capital Private Assets Data Insights team. Business Overview Schroders is a leading provider of active asset management, advisory and wealth management services and is widely recognised as a leader in sustainability. Few investment managers can match the combination of capabilities and global reach that Schroders offers. This breadth of services across public and private markets allows for distinctive solutions for the diverse needs of clients, who look to Schroders to provide superior long-term investment outcomes. Schroders Capital is the private markets business of Schroders with $111bn of AUM. We work as a global network of specialised, entrepreneurial teams. We combine a global perspective with local market expertise to serve institutional and private wealth clients. Our offering spans the private markets universe and provides access to unique capabilities across private debt and credit alternatives, real estate equity, private equity, and infrastructure equity. The firm has deep expertise in creating bespoke solutions for clients and is committed to providing scalable capabilities across the spectrum of risk, return and sustainability and impact objectives. Supported by the resources, experience, and institutional framework of one of the world's leading asset managers, Schroders Capital is dedicated to helping investors achieve their goals and is at the forefront of product innovation to meet the evolving needs of investors. The base We moved into our new HQ in the City of London in 2018.We are close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly. The team The Private Assets Data Insights (PADI) team is an innovation team embedded within investment management across Schroders Capital. Established in 2014, the team employs data science, AI and advanced analytics to develop proprietary applications, applied research, and decision-support tools to optimise investment decision-making and streamline investment processes. The team supports the four verticals withinour private markets business -real estate, private equity, infrastructure andprivate debt. We have an opening for an additional team member to work across all verticals with a particular focus onreal estate, working closely with investment teams to identify, shape and execute on high value initiatives to push the boundaries of data driven investing. What you will do: Work closely with real estate investment teams to optimise decision-making and improve investment processes through geospatial data science, advanced analytics, and AI, with scope to extend approaches to infrastructure and private credit where business value dictates. Identify, scope, and independently lead data science projects that generate measurable value for real estate, as well as other verticals as required. Manage your own stakeholders effectively, ensuring alignment of analyses and insights with investment priorities. Develop and deliver clear, impactful presentations of your analyses and findings to internal stakeholders and external clients. Apply data science techniques to portfolio optimisation and cash flow modelling, supporting investment strategies. Collaborate with data engineering and IT teams to build and maintain robust data pipelines and tools. Stay abreast of industry trends and emerging technologies, ensuring solutions are current and aligned with business objectives. The knowledge, experience and qualifications you need: A degree in a relevant technical discipline such as computer science, physics, engineering, mathematics, statistics, or a related field, and 4+ years of experience in a relevant role. Demonstrable interest and experience in geospatial data science. Strong interest in and knowledge of computer and data science, with excellent analytical skills and the ability to exercise sound judgement. Ability to communicate complex ideas and problems in a clear and structured way to senior stakeholders and clients. Knowledge of econometrics and other forecasting methodologies is a plus. Proficient in Python; good working knowledge of R and SQL. Comfortable working in a Linux environment. Experience with Agile methodologies and tools, including DevOps, Git, and CI/CD practices. A drive to address complex technical and theoretical challenges. Experience with a cloud computing platform; AWS is a plus. We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought, facilitated by an inclusive culture, will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer. You are welcome here, regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background, or any other protected characteristic. About Us We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Job Info Job Identification 525 Job Category Investment Posting Date 01/03/2026, 12:00 AM Locations 1 London Wall Place, London, EC2Y 5AU, GB
Jan 05, 2026
Full time
A Data Scientist to join the Schroders Capital Private Assets Data Insights team. Business Overview Schroders is a leading provider of active asset management, advisory and wealth management services and is widely recognised as a leader in sustainability. Few investment managers can match the combination of capabilities and global reach that Schroders offers. This breadth of services across public and private markets allows for distinctive solutions for the diverse needs of clients, who look to Schroders to provide superior long-term investment outcomes. Schroders Capital is the private markets business of Schroders with $111bn of AUM. We work as a global network of specialised, entrepreneurial teams. We combine a global perspective with local market expertise to serve institutional and private wealth clients. Our offering spans the private markets universe and provides access to unique capabilities across private debt and credit alternatives, real estate equity, private equity, and infrastructure equity. The firm has deep expertise in creating bespoke solutions for clients and is committed to providing scalable capabilities across the spectrum of risk, return and sustainability and impact objectives. Supported by the resources, experience, and institutional framework of one of the world's leading asset managers, Schroders Capital is dedicated to helping investors achieve their goals and is at the forefront of product innovation to meet the evolving needs of investors. The base We moved into our new HQ in the City of London in 2018.We are close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly. The team The Private Assets Data Insights (PADI) team is an innovation team embedded within investment management across Schroders Capital. Established in 2014, the team employs data science, AI and advanced analytics to develop proprietary applications, applied research, and decision-support tools to optimise investment decision-making and streamline investment processes. The team supports the four verticals withinour private markets business -real estate, private equity, infrastructure andprivate debt. We have an opening for an additional team member to work across all verticals with a particular focus onreal estate, working closely with investment teams to identify, shape and execute on high value initiatives to push the boundaries of data driven investing. What you will do: Work closely with real estate investment teams to optimise decision-making and improve investment processes through geospatial data science, advanced analytics, and AI, with scope to extend approaches to infrastructure and private credit where business value dictates. Identify, scope, and independently lead data science projects that generate measurable value for real estate, as well as other verticals as required. Manage your own stakeholders effectively, ensuring alignment of analyses and insights with investment priorities. Develop and deliver clear, impactful presentations of your analyses and findings to internal stakeholders and external clients. Apply data science techniques to portfolio optimisation and cash flow modelling, supporting investment strategies. Collaborate with data engineering and IT teams to build and maintain robust data pipelines and tools. Stay abreast of industry trends and emerging technologies, ensuring solutions are current and aligned with business objectives. The knowledge, experience and qualifications you need: A degree in a relevant technical discipline such as computer science, physics, engineering, mathematics, statistics, or a related field, and 4+ years of experience in a relevant role. Demonstrable interest and experience in geospatial data science. Strong interest in and knowledge of computer and data science, with excellent analytical skills and the ability to exercise sound judgement. Ability to communicate complex ideas and problems in a clear and structured way to senior stakeholders and clients. Knowledge of econometrics and other forecasting methodologies is a plus. Proficient in Python; good working knowledge of R and SQL. Comfortable working in a Linux environment. Experience with Agile methodologies and tools, including DevOps, Git, and CI/CD practices. A drive to address complex technical and theoretical challenges. Experience with a cloud computing platform; AWS is a plus. We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought, facilitated by an inclusive culture, will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer. You are welcome here, regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background, or any other protected characteristic. About Us We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Job Info Job Identification 525 Job Category Investment Posting Date 01/03/2026, 12:00 AM Locations 1 London Wall Place, London, EC2Y 5AU, GB
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking to recruit an experienced Software Development Team Lead. You will be responsible for leading a team of software developers and testers to develop new data-driven cloud and on-premises applications incorporating Large Language Models in a multi-year roadmap. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities This is a hands-on role and will be expected to take an active part in development work Lead teams of developers and data scientists to deliver new products, features and fixes iteratively using an Agile Scrum approach Provide technical input including architectural and design decisions Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Qualifications Essential Attributes 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice Team Lead experience leading software engineering teams using an Agile methodology Experience in two or more of the following programming languages: Python, Java, and/or .NET (C#) Familiarity with databases such as MSSQL, PostgreSQL, and Oracle Familiarity with build pipeline tools and technologies such as GitLab Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Ability to establish credibility with engineers quickly, and provide long-term goals and motivation Excellent facilitation skills for cross-stakeholder discussions, both internal and external Desirable Attributes Experience in Geology domain especially Oil and Gas Experience with LLMs and/or AI as part of a solution Knowledge of cloud architecture including AWS, Azure, and/or Google Cloud Undergraduate degree in Software Engineering, Computer Science or equivalent experience Agile Scrum certification Experienced in working with remote teams Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204217 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Jan 05, 2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking to recruit an experienced Software Development Team Lead. You will be responsible for leading a team of software developers and testers to develop new data-driven cloud and on-premises applications incorporating Large Language Models in a multi-year roadmap. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities This is a hands-on role and will be expected to take an active part in development work Lead teams of developers and data scientists to deliver new products, features and fixes iteratively using an Agile Scrum approach Provide technical input including architectural and design decisions Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Qualifications Essential Attributes 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice Team Lead experience leading software engineering teams using an Agile methodology Experience in two or more of the following programming languages: Python, Java, and/or .NET (C#) Familiarity with databases such as MSSQL, PostgreSQL, and Oracle Familiarity with build pipeline tools and technologies such as GitLab Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Ability to establish credibility with engineers quickly, and provide long-term goals and motivation Excellent facilitation skills for cross-stakeholder discussions, both internal and external Desirable Attributes Experience in Geology domain especially Oil and Gas Experience with LLMs and/or AI as part of a solution Knowledge of cloud architecture including AWS, Azure, and/or Google Cloud Undergraduate degree in Software Engineering, Computer Science or equivalent experience Agile Scrum certification Experienced in working with remote teams Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204217 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Mineral / Hydrogen Geoscientist We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. We are looking to recruit a Geoscientist to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Essential Skills: An honours degree (2:1+) and ideally a postgraduate degree in Geology (at least MSc level), with a hard rock focus Experience in communicating value to customers or stakeholders Data analytical skills and knowledge of databases Ability to deliver high quality geoscience interpretations to time and standard Experience with GIS technologies such as QGIS, ArcGIS A professional attitude and a willingness to learn Comfortable working within a team and contributing to the geoscience and technological discussions within the company Desirable Skills: Two to five years' experience in the mining industry/mineral exploration Exposure to Precambrian geology Experience with coding and analytical languages such as Python, SQL, PostgreSQL etc. Strong communication skills, with experience presenting technical work Experience with FME Desktop or FME Server/Cloud Experience of wireline and seismic interpretation would be advantageous Responsibilities include: Generation of mineral system screening and prospectivity maps to assess key commodities and deliver insights to clients Delivering technical presentations to clients and colleagues The interpretation and analysis of a wide range of geoscientific data Population of geoscience databases Making interpretative geoscience contributions towards the digital twin Ensuring standards and quality Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204381 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Jan 05, 2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Mineral / Hydrogen Geoscientist We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. We are looking to recruit a Geoscientist to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Essential Skills: An honours degree (2:1+) and ideally a postgraduate degree in Geology (at least MSc level), with a hard rock focus Experience in communicating value to customers or stakeholders Data analytical skills and knowledge of databases Ability to deliver high quality geoscience interpretations to time and standard Experience with GIS technologies such as QGIS, ArcGIS A professional attitude and a willingness to learn Comfortable working within a team and contributing to the geoscience and technological discussions within the company Desirable Skills: Two to five years' experience in the mining industry/mineral exploration Exposure to Precambrian geology Experience with coding and analytical languages such as Python, SQL, PostgreSQL etc. Strong communication skills, with experience presenting technical work Experience with FME Desktop or FME Server/Cloud Experience of wireline and seismic interpretation would be advantageous Responsibilities include: Generation of mineral system screening and prospectivity maps to assess key commodities and deliver insights to clients Delivering technical presentations to clients and colleagues The interpretation and analysis of a wide range of geoscientific data Population of geoscience databases Making interpretative geoscience contributions towards the digital twin Ensuring standards and quality Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204381 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Required Qualifications Honors degree (2:1 or above) in data science or related field. Minimum of 2 years related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204366 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Jan 05, 2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Required Qualifications Honors degree (2:1 or above) in data science or related field. Minimum of 2 years related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204366 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
