Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Feb 15, 2026
Full time
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Quantitative Developer will be a core member of the quantitative development team. The individual will be responsible for the overall software infrastructure used by QRA and other risk teams. This includes necessary software upgrades to make sure the team is equipped with best-in-class and latest software components and setting up the software tools for the seamless use by fellow team members. Successful candidate will work on maintaining production codebases, ensuring high performance and reliability, and integrating languages and components with low friction into the toolchain. He will also be the key contact on any matters related to coding standards within the Team, ensuring these standards are implemented and adhered to. The individual will participate in the development, maintenance, and performance improvement of risk libraries, software infrastructure, using Python and C++ as the primary languages. In addition, the incumbent will be involved in setting up version control software, monitor the performance of the in-house developed code and help the team implement more robust automated testing and continuous integration processes. As a good to have, the incumbent will have a good overall understanding of identification, measurement and modelling of credit and market risks. Familiarity with derivatives or financial products in addition is highly desirable. Quantitative Developer will from time to time be involved in different projects with a large development component, such as designing aggregation measures and reports that will help the Management better understand the overall portfolio risks. Background Quantitative Risk Analytics (QRA) is a function within Risk Models, Model Validation and Stress Testing team of the Risk Management department. QRA's primary function is supporting the articulation of the Bank's Risk Appetite and developing informative Risk Measures and Analytics. The quantitative function covers the following aspects: Credit Risk: Responsible for the identification, measurement, analysis and mitigation of the credit risks taken by the Treasury and Banking, including exotic products, and engages with them to provide advisory in the pre trading structuring, collateral mitigants and portfolio what if analysis, as well as exposure management within agreed limits. Economic Capital: Provides an internal estimate of overall Economic Capital consumption to facilitate capital allocation. Market Risk: Responsible for the identification, measurement, monitoring and mitigation of market risks in the Treasury and Banking operations. Liquidity Risk: Responsible for the measurement and monitoring of Liquidity Risk for the local currency desk. Accountabilities & Responsibilities Depending on the area of specialisation, Quantitative Developer is responsible for all or most of the following: Designing and maintaining the software infrastructure of the team. Perform any necessary upgrades to ensure the Team has the best in class toolset to work with. This includes setting up the IDEs and installing any necessary packages and environments. Participate in the design and development of in house developed software solutions. Assist in maintenance and performance improvement of the existing in house risk library and overall Team's software infrastructure. Assert and maintain high coding standards across the Team's software ecosystem. Provide advice on these matters positively influencing the state of any in house developed software solutions. Collaborate with IT teams to resolve any BAU issues the Team might be facing. Participate in forums related to any dependencies pertaining to IT matters with the potential to influence the Team's work. Knowledge, Skills, Experience & Qualifications 3+ years professional experience with modern Python or C++. Proficiency in C++: good knowledge of data structures, algorithms, and design patterns. Proficiency in Python: ability to prototype, write scripts, and do the data manipulation along with integration with C++ code. Experienced in setting up and maintaining development environments and toolchains for Python and C++. Demonstrates solid knowledge of software engineering best practices, encompassing version control with Git, peer code review, and systematic unit and integration testing. Good problem solving, debugging, profiling skills. Familiarity with HTTP based APIs and methods. Knowledge of quantitative finance, risk modelling and derivatives is a plus. Familiarity with P&L explain is a good to have. Experience with DevOps practices, including CI/CD and automation, is advantageous. Knowledge of R and Julia is a good to have. Knowledge of setting up modern machine learning frameworks (e.g., PyTorch, Google Colab) is considered an asset. Good communication skills, ability to work cross functionally. MSc in Finance or Sciences. What is it like to work at the EBRD? Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in. The EBRD environment provides you with: Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in; A working culture that embraces inclusion and celebrates diversity; An environment that places sustainability, equality and digital transformation at the heart of what we do. Diversity is one of the Bank's core values which are at the heart of everything it does. A diverse workforce with the right knowledge and skills enables connection with our clients, brings pioneering ideas, energy and innovation. The EBRD staff is characterised by its rich diversity of nationalities, cultures and opinions and we aim to sustain and build on this strength. As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, sexual orientation or disabilities. As an inclusive employer, we promote flexible working and expecting our employee to attend the office 50% of their working time. Job Segment: Testing, Test Engineer, Developer, Risk Management, Sustainability, Technology, Engineering, Finance, Energy
Feb 15, 2026
Full time
Quantitative Developer will be a core member of the quantitative development team. The individual will be responsible for the overall software infrastructure used by QRA and other risk teams. This includes necessary software upgrades to make sure the team is equipped with best-in-class and latest software components and setting up the software tools for the seamless use by fellow team members. Successful candidate will work on maintaining production codebases, ensuring high performance and reliability, and integrating languages and components with low friction into the toolchain. He will also be the key contact on any matters related to coding standards within the Team, ensuring these standards are implemented and adhered to. The individual will participate in the development, maintenance, and performance improvement of risk libraries, software infrastructure, using Python and C++ as the primary languages. In addition, the incumbent will be involved in setting up version control software, monitor the performance of the in-house developed code and help the team implement more robust automated testing and continuous integration processes. As a good to have, the incumbent will have a good overall understanding of identification, measurement and modelling of credit and market risks. Familiarity with derivatives or financial products in addition is highly desirable. Quantitative Developer will from time to time be involved in different projects with a large development component, such as designing aggregation measures and reports that will help the Management better understand the overall portfolio risks. Background Quantitative Risk Analytics (QRA) is a function within Risk Models, Model Validation and Stress Testing team of the Risk Management department. QRA's primary function is supporting the articulation of the Bank's Risk Appetite and developing informative Risk Measures and Analytics. The quantitative function covers the following aspects: Credit Risk: Responsible for the identification, measurement, analysis and mitigation of the credit risks taken by the Treasury and Banking, including exotic products, and engages with them to provide advisory in the pre trading structuring, collateral mitigants and portfolio what if analysis, as well as exposure management within agreed limits. Economic Capital: Provides an internal estimate of overall Economic Capital consumption to facilitate capital allocation. Market Risk: Responsible for the identification, measurement, monitoring and mitigation of market risks in the Treasury and Banking operations. Liquidity Risk: Responsible for the measurement and monitoring of Liquidity Risk for the local currency desk. Accountabilities & Responsibilities Depending on the area of specialisation, Quantitative Developer is responsible for all or most of the following: Designing and maintaining the software infrastructure of the team. Perform any necessary upgrades to ensure the Team has the best in class toolset to work with. This includes setting up the IDEs and installing any necessary packages and environments. Participate in the design and development of in house developed software solutions. Assist in maintenance and performance improvement of the existing in house risk library and overall Team's software infrastructure. Assert and maintain high coding standards across the Team's software ecosystem. Provide advice on these matters positively influencing the state of any in house developed software solutions. Collaborate with IT teams to resolve any BAU issues the Team might be facing. Participate in forums related to any dependencies pertaining to IT matters with the potential to influence the Team's work. Knowledge, Skills, Experience & Qualifications 3+ years professional experience with modern Python or C++. Proficiency in C++: good knowledge of data structures, algorithms, and design patterns. Proficiency in Python: ability to prototype, write scripts, and do the data manipulation along with integration with C++ code. Experienced in setting up and maintaining development environments and toolchains for Python and C++. Demonstrates solid knowledge of software engineering best practices, encompassing version control with Git, peer code review, and systematic unit and integration testing. Good problem solving, debugging, profiling skills. Familiarity with HTTP based APIs and methods. Knowledge of quantitative finance, risk modelling and derivatives is a plus. Familiarity with P&L explain is a good to have. Experience with DevOps practices, including CI/CD and automation, is advantageous. Knowledge of R and Julia is a good to have. Knowledge of setting up modern machine learning frameworks (e.g., PyTorch, Google Colab) is considered an asset. Good communication skills, ability to work cross functionally. MSc in Finance or Sciences. What is it like to work at the EBRD? Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in. The EBRD environment provides you with: Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in; A working culture that embraces inclusion and celebrates diversity; An environment that places sustainability, equality and digital transformation at the heart of what we do. Diversity is one of the Bank's core values which are at the heart of everything it does. A diverse workforce with the right knowledge and skills enables connection with our clients, brings pioneering ideas, energy and innovation. The EBRD staff is characterised by its rich diversity of nationalities, cultures and opinions and we aim to sustain and build on this strength. As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, sexual orientation or disabilities. As an inclusive employer, we promote flexible working and expecting our employee to attend the office 50% of their working time. Job Segment: Testing, Test Engineer, Developer, Risk Management, Sustainability, Technology, Engineering, Finance, Energy
A leading financial institution located in Greater London is seeking a Quantitative Developer to enhance their software infrastructure and toolsets. You will work closely with the Quantitative Risk Analytics team, ensuring high-performance code and adherence to coding standards. The ideal candidate will have over 3 years of experience using Python and C++, alongside a Master's in Finance or Sciences. This role encourages collaboration and values diversity, fostering an inclusive work environment.
Feb 15, 2026
Full time
A leading financial institution located in Greater London is seeking a Quantitative Developer to enhance their software infrastructure and toolsets. You will work closely with the Quantitative Risk Analytics team, ensuring high-performance code and adherence to coding standards. The ideal candidate will have over 3 years of experience using Python and C++, alongside a Master's in Finance or Sciences. This role encourages collaboration and values diversity, fostering an inclusive work environment.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. An opportunity to work at the forefront of research into Moody's Analytics' cutting-edge credit modelling and scenario generation suite of solutions. Join a global team of leading risk management professionals from a diverse set of academic and professional backgrounds. Our products and services are deeply embedded across the financial sector. A culture emphasising partnership with our clients and the value of innovation and thought leadership pervades our business objectives and the day-to-day work that we do. As a research member of the Insurance Asset Risk Modelling team, you will be exposed to a broad range of challenges ranging from deeply technical model research to highly focussed client driven project work. This role will involve working on a newly developed credit risk product, which integrates Moody's long-standing expertise in structural credit modelling in an integrated risk framework which leverages Moody's award-winning Scenario Generator solution for broader interest rate and market risks. This modelling is applied across a range of credit asset classes (including structured products and private markets), while also capturing other key market risks like yield curve sensitivities and FX exposures. Our clients typically model these risks within a broader Asset Liability and Economic Capital framework. Responsibilities Prototype & develop analytic and quantitative financial models. Review financial analytics requirements. Contribute and lead research projects and development initiatives focused on improving our products. Where appropriate engage in detailed review and development activities of others' work to ensure that the team meets its goals. Write and review model and technical product documentation. Collaborate with members of Research and Product Management teams to develop testing plans, testing strategy and statistical benchmarks for testing. Create test cases, execute tests, analyse testing results and provide reports to the project team. Provide advanced level support on quantitative modelling questions to clients. Supporting the advisory services and sales teams by engaging with clients and prospect on deep dive modelling topics and product expertise. Qualifications A good first degree in a numerical discipline, for example: finance or other highly quantitative subject (physical sciences, maths, data science, economics). Ideally, a post-graduate (MSc or PhD) qualification in a numerical discipline. Knowledge or experience in the following areas: Structural credit modelling, including Merton and Distance to Default credit modelling Time series data and analysis, financial mathematics and stochastic modelling. Ideally, experience of using economic scenarios or scenario generation software and its application to asset risk modelling workflows Strong quantitative developer skills. Ideally with experience of programming in Python and familiarity with leveraging AI coding agents in an integrated development environment. We also use C# and MATLAB extensively. Strong communication, presentation and interpersonal skills, with the ability to communicate complex concepts both internally and externally, to different stakeholders with varying levels of technical knowledge. Experience in working in a collaborative project environment, with multi-disciplinary teams (e.g. product management, develop teams, operations, technology, business analysis, etc.). The Department / Team The Moody's Insurance Solutions team supports the insurance industry through the delivery of award-winning solutions, supporting regulatory compliance, financial reporting, investment, and helping firms to develop deeper business insight. A key element of our offering is our ability for subject matter experts to engage effectively with our customers on a regular basis. This engagement supports a number of objectives - ensuring customer satisfaction through effective solution delivery and issue resolution and continuously developing our understanding of customer needs - helping us to establish long-lasting and mutually beneficial relationships with our customers. Equal Opportunity Employer Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Feb 14, 2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. An opportunity to work at the forefront of research into Moody's Analytics' cutting-edge credit modelling and scenario generation suite of solutions. Join a global team of leading risk management professionals from a diverse set of academic and professional backgrounds. Our products and services are deeply embedded across the financial sector. A culture emphasising partnership with our clients and the value of innovation and thought leadership pervades our business objectives and the day-to-day work that we do. As a research member of the Insurance Asset Risk Modelling team, you will be exposed to a broad range of challenges ranging from deeply technical model research to highly focussed client driven project work. This role will involve working on a newly developed credit risk product, which integrates Moody's long-standing expertise in structural credit modelling in an integrated risk framework which leverages Moody's award-winning Scenario Generator solution for broader interest rate and market risks. This modelling is applied across a range of credit asset classes (including structured products and private markets), while also capturing other key market risks like yield curve sensitivities and FX exposures. Our clients typically model these risks within a broader Asset Liability and Economic Capital framework. Responsibilities Prototype & develop analytic and quantitative financial models. Review financial analytics requirements. Contribute and lead research projects and development initiatives focused on improving our products. Where appropriate engage in detailed review and development activities of others' work to ensure that the team meets its goals. Write and review model and technical product documentation. Collaborate with members of Research and Product Management teams to develop testing plans, testing strategy and statistical benchmarks for testing. Create test cases, execute tests, analyse testing results and provide reports to the project team. Provide advanced level support on quantitative modelling questions to clients. Supporting the advisory services and sales teams by engaging with clients and prospect on deep dive modelling topics and product expertise. Qualifications A good first degree in a numerical discipline, for example: finance or other highly quantitative subject (physical sciences, maths, data science, economics). Ideally, a post-graduate (MSc or PhD) qualification in a numerical discipline. Knowledge or experience in the following areas: Structural credit modelling, including Merton and Distance to Default credit modelling Time series data and analysis, financial mathematics and stochastic modelling. Ideally, experience of using economic scenarios or scenario generation software and its application to asset risk modelling workflows Strong quantitative developer skills. Ideally with experience of programming in Python and familiarity with leveraging AI coding agents in an integrated development environment. We also use C# and MATLAB extensively. Strong communication, presentation and interpersonal skills, with the ability to communicate complex concepts both internally and externally, to different stakeholders with varying levels of technical knowledge. Experience in working in a collaborative project environment, with multi-disciplinary teams (e.g. product management, develop teams, operations, technology, business analysis, etc.). The Department / Team The Moody's Insurance Solutions team supports the insurance industry through the delivery of award-winning solutions, supporting regulatory compliance, financial reporting, investment, and helping firms to develop deeper business insight. A key element of our offering is our ability for subject matter experts to engage effectively with our customers on a regular basis. This engagement supports a number of objectives - ensuring customer satisfaction through effective solution delivery and issue resolution and continuously developing our understanding of customer needs - helping us to establish long-lasting and mutually beneficial relationships with our customers. Equal Opportunity Employer Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Entity: Supply, Trading & Shipping Job Family Group: Supply & Trading Group Job Description: About the Team The Quantitative Development team sits within BPs Supply & Trading, Trading Analytics organization, working alongside Quantitative Analytics, Data Strategists, Market Intelligence and Core Strategists click apply for full job details
Feb 12, 2026
Full time
Entity: Supply, Trading & Shipping Job Family Group: Supply & Trading Group Job Description: About the Team The Quantitative Development team sits within BPs Supply & Trading, Trading Analytics organization, working alongside Quantitative Analytics, Data Strategists, Market Intelligence and Core Strategists click apply for full job details
European Power and Gas Quantitative Developer page is loaded European Power and Gas Quantitative Developerlocations: London: Genevaposted on: Posted 4 Days Agojob requisition id: JR102494 Job Title: European Power and Gas Quantitative Developer Contract Type: Time Type: Job Description: To support the growth in complex and structured trades being executed by our Power and Gas trading desks, we are looking for a Quantitative Developer to work within our Structuring and Valuation team. This role is based in London. Key Responsibilities: Design the software architecture of the quantitative pricing library Work with Quantitative Analysts to ensure new model implementations are maintainable and reusable Improve and refactor existing model implementations (where feasible) Evangelise software engineering best practices and mentor team members in adopting them Ensure the development environment uses up-to-date development tools and techniques Create automated reports and visualisation tools to guide trading decisions Work with Quantitative Analysts to analyse large datasets and calibrate models Optimise performance of computationally intensive models Key Requirements 3-5 year's experience in a software development role Proficient in Python, including knowledge of object orientation concepts; experience with databases/SQL Deep understanding of Agile software development and best practices Experience within the domain of trading and, ideally, quantitative analytics Ideally, experience with pricing/risk-management systems and knowledge of energy markets Degree educated Excellent communication and presentation skills Desire to work as part of a team as well as being self-driven Fluent in EnglishIf you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success.
Feb 12, 2026
Full time
European Power and Gas Quantitative Developer page is loaded European Power and Gas Quantitative Developerlocations: London: Genevaposted on: Posted 4 Days Agojob requisition id: JR102494 Job Title: European Power and Gas Quantitative Developer Contract Type: Time Type: Job Description: To support the growth in complex and structured trades being executed by our Power and Gas trading desks, we are looking for a Quantitative Developer to work within our Structuring and Valuation team. This role is based in London. Key Responsibilities: Design the software architecture of the quantitative pricing library Work with Quantitative Analysts to ensure new model implementations are maintainable and reusable Improve and refactor existing model implementations (where feasible) Evangelise software engineering best practices and mentor team members in adopting them Ensure the development environment uses up-to-date development tools and techniques Create automated reports and visualisation tools to guide trading decisions Work with Quantitative Analysts to analyse large datasets and calibrate models Optimise performance of computationally intensive models Key Requirements 3-5 year's experience in a software development role Proficient in Python, including knowledge of object orientation concepts; experience with databases/SQL Deep understanding of Agile software development and best practices Experience within the domain of trading and, ideally, quantitative analytics Ideally, experience with pricing/risk-management systems and knowledge of energy markets Degree educated Excellent communication and presentation skills Desire to work as part of a team as well as being self-driven Fluent in EnglishIf you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success.
iSAM is an innovative, financial technology firm specialising in quantitative trading, compromised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA, SFC, and CTFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group's bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. About the Role iSAM Helix is an Equities Statistical Arbitrage (StatArb) business line within iSAM Funds, which trades 24/6 globally. iSAM Helix has been live since 2021 and continues to evolve rapidly as part of an ambitious roadmap focused on expanding strategy breadth and capacity. Helix consists of four groups: Research, Quantitative Development, Technology and Data. The project is highly collaborative; the team are looking for a Quantitative Developer capable of working on all aspects of the trading platform - research, development, and live trading platforms. Technology is a front-line function within Helix, playing a critical role in systematic trading. Both the research platform and the production trading system are built on top of custom implementation of high-performance python graph (DAG). The same graph framework is being used across the whole environment - research and back testing, live trading, analytics, risk, position keeping and P&L. Responsibilities Develop and support a complex quantitative StatArb strategies involving large-scale data processing, sophisticated statistical modelling, portfolio construction and highly optimised execution. Build and maintain systems handling highly diversified equity portfolios. Monitoring transaction costs and behaviour of a high turnover strategy. Process and analyse vast historical datasets for research and back-testing alongside real-time, tick-level market data for live trading. Contribute to the design and use of a high-performance, graph-based (DAG) framework enabling concurrent data processing for research and production. Monitor and manage execution quality, transaction costs and market risks arising from changing market regimes and small statistical effects. Work closely with quantitative researchers to enhance tooling, frameworks and shared feature libraries. Take ownership of system components in a fast-paced, agile environment, working both independently and collaboratively as required. Participate in live trading support, including interaction with orders and brokers as part of a rota (FCA certification required). Qualifications 3 years' experience in a technical role within the finance industry (investment bank, hedge fund and associated firms) Degree in Mathematics or Physics preferred; other STEM subjects such as Computer Science will also be considered. Python: Strong software developer with in-depth knowledge and experience. Numpy (including numba): in-depth knowledge is required. Strong knowledge of Unix systems (processes, memory, I/O). Deep understanding of statistical methods, numerical optimisation and equity market microstructure. Experience working with graph-based (DAG) data processing frameworks. Personal Attributes Highly analytical with a strong sense of ownership and accountability. Comfortable tackling complex, ambiguous problems with limited oversight. Collaborative mindset with the ability to work closely with researchers, technologists and trading operations. Calm and reliable under pressure, particularly in live trading environments. Key Outcomes Delivery of robust, scalable and high-performance systems supporting live trading. Tangible improvements to research productivity, execution quality and platform stability. Technical excellence and system ownership.
Feb 11, 2026
Full time
iSAM is an innovative, financial technology firm specialising in quantitative trading, compromised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA, SFC, and CTFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group's bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. About the Role iSAM Helix is an Equities Statistical Arbitrage (StatArb) business line within iSAM Funds, which trades 24/6 globally. iSAM Helix has been live since 2021 and continues to evolve rapidly as part of an ambitious roadmap focused on expanding strategy breadth and capacity. Helix consists of four groups: Research, Quantitative Development, Technology and Data. The project is highly collaborative; the team are looking for a Quantitative Developer capable of working on all aspects of the trading platform - research, development, and live trading platforms. Technology is a front-line function within Helix, playing a critical role in systematic trading. Both the research platform and the production trading system are built on top of custom implementation of high-performance python graph (DAG). The same graph framework is being used across the whole environment - research and back testing, live trading, analytics, risk, position keeping and P&L. Responsibilities Develop and support a complex quantitative StatArb strategies involving large-scale data processing, sophisticated statistical modelling, portfolio construction and highly optimised execution. Build and maintain systems handling highly diversified equity portfolios. Monitoring transaction costs and behaviour of a high turnover strategy. Process and analyse vast historical datasets for research and back-testing alongside real-time, tick-level market data for live trading. Contribute to the design and use of a high-performance, graph-based (DAG) framework enabling concurrent data processing for research and production. Monitor and manage execution quality, transaction costs and market risks arising from changing market regimes and small statistical effects. Work closely with quantitative researchers to enhance tooling, frameworks and shared feature libraries. Take ownership of system components in a fast-paced, agile environment, working both independently and collaboratively as required. Participate in live trading support, including interaction with orders and brokers as part of a rota (FCA certification required). Qualifications 3 years' experience in a technical role within the finance industry (investment bank, hedge fund and associated firms) Degree in Mathematics or Physics preferred; other STEM subjects such as Computer Science will also be considered. Python: Strong software developer with in-depth knowledge and experience. Numpy (including numba): in-depth knowledge is required. Strong knowledge of Unix systems (processes, memory, I/O). Deep understanding of statistical methods, numerical optimisation and equity market microstructure. Experience working with graph-based (DAG) data processing frameworks. Personal Attributes Highly analytical with a strong sense of ownership and accountability. Comfortable tackling complex, ambiguous problems with limited oversight. Collaborative mindset with the ability to work closely with researchers, technologists and trading operations. Calm and reliable under pressure, particularly in live trading environments. Key Outcomes Delivery of robust, scalable and high-performance systems supporting live trading. Tangible improvements to research productivity, execution quality and platform stability. Technical excellence and system ownership.
Team Overview XiP is building a next generation cross asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on demand, and we can run up to tens of thousands of replicas of our services across all asset classes. Role Overview We are seeking a Senior Engineer to fill the role of "Applications Development Technology Lead Analyst" on the XiNG large scale distributed calculation platform (XiP). In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution. Run on hundreds of thousands of pods across the entire XiP platform every day, this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure. As an engineer working on the calculation engine, you will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform. Responsibilities Take part of the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilizing resources better, and scaling to even greater sizes. This means adding new features without impacting performance of the platform in an undesirable manner - small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning. Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelises 250,000 hours of compute into a single 90 minute execution: Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelisation strategies and identify opportunities to further improve efficiency, scalability, and throughput. Operationally support the optimisation of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyse the distributed execution of large scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimisations that enhance calculation speed and resource utilisation. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs. Provide specialised customer support to optimise and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimise inefficiencies that arise during distributed workload execution. Qualifications Multiple years professional software development experience with Java. Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus). Experience designing, building, and maintaining large scale, distributed systems. Experience with RESTful API design and implementation. Strong understanding of object oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerisation (e.g., Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Feb 07, 2026
Full time
Team Overview XiP is building a next generation cross asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on demand, and we can run up to tens of thousands of replicas of our services across all asset classes. Role Overview We are seeking a Senior Engineer to fill the role of "Applications Development Technology Lead Analyst" on the XiNG large scale distributed calculation platform (XiP). In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution. Run on hundreds of thousands of pods across the entire XiP platform every day, this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure. As an engineer working on the calculation engine, you will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform. Responsibilities Take part of the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilizing resources better, and scaling to even greater sizes. This means adding new features without impacting performance of the platform in an undesirable manner - small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning. Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelises 250,000 hours of compute into a single 90 minute execution: Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelisation strategies and identify opportunities to further improve efficiency, scalability, and throughput. Operationally support the optimisation of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyse the distributed execution of large scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimisations that enhance calculation speed and resource utilisation. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs. Provide specialised customer support to optimise and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimise inefficiencies that arise during distributed workload execution. Qualifications Multiple years professional software development experience with Java. Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus). Experience designing, building, and maintaining large scale, distributed systems. Experience with RESTful API design and implementation. Strong understanding of object oriented programming and design patterns. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerisation (e.g., Docker, Kubernetes) is desirable. Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito). Experience working in Agile/Scrum development environments. Practical experience with Python for scripting, automation, or data processing tasks. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
A leading energy trading company in Greater London seeks a Quantitative Developer to contribute to developing and maintaining its derivative systems infrastructure. The role involves engaging with business units for requirements, implementing best practices in software development, and supporting analytical tools for traders. The ideal candidate will possess C/C++ and Python experience, with familiarity in financial products preferred. Join a dynamic team where you'll collaborate across departments, ensuring robust and scalable solutions.
Feb 03, 2026
Full time
A leading energy trading company in Greater London seeks a Quantitative Developer to contribute to developing and maintaining its derivative systems infrastructure. The role involves engaging with business units for requirements, implementing best practices in software development, and supporting analytical tools for traders. The ideal candidate will possess C/C++ and Python experience, with familiarity in financial products preferred. Join a dynamic team where you'll collaborate across departments, ensuring robust and scalable solutions.
The Quantitative Solutions department is business focussed and prides itself in being subject matter experts across our core areas: business knowledge, research and development of derivatives models and strategies, analytical tools, producing scalable performant services for pricing and risk. Team Description The Quantitative Development team is part of Quantitative Solutions which sits in the Front Office and is the centre of quantitative development capability for EDF Trading. It has direct responsibility over the development and maintenance of EDF Trading's derivative systems infrastructure. The team also provides other front office analytical tools for both traders and structurers, with the support of other teams in the group. Core Responsibilities Development Engage with the Head of the Quantitative Development team for the delivery of any development work within the agreed timelines. Adhere to the company's standards and best practices, including, but not limited to, documentation, testing and peer review Use technology appropriately and flexibly, taking into consideration the company's strategy and recommendations. Provide full visibility of work undertaken via backlog of requests. Implement software engineering best practices and develop high quality code with appropriate test coverage Refactor and enhance existing components and solutions to standardise and reduce duplication. Provide detailed documentation of the application/component features being developed. Assist production operations team in testing, rollout and production support. Ability to work in a fast-paced environment.Analytics and other front office tools Be able to develop and support and carry out investigations on the company's main derivative analytics' platform under the supervision of a senior member of the team. Be able to support and further develop other desktop tools built by the quantitative development team. Take ownership of the development infrastructure required by the above tools and, whenever possible, adopt the company's standard toolset for source code repository, continuous build and deployment. Work closely with other teams in the group on various technical aspects such as model integration, performance, improvements and tracking issues to deliver highly reliable and highly complex technical solutions. Coordinate and communicate specific subject matter knowledge to the design and integration phase of each project.Support to the Business Engage with the business to assist them in understanding and defining their requirements for any systems and tools supported by the team. Provide technical advice to the business units by identifying the most appropriate tools/processes for any given task. Experience Required Required experience: Software development experience Desirable experience: Experience in a technology team within a financial institution, ideally in a front office Previous experience working within a trading operation, preferably energy or other commodity trading, with a full understanding of the trade life cycleUnderstanding of financial products, preferably including derivative and option products, In addition familiarity with physically delivered commodities is desirable.Essential technical skills: C/C+ development experience Python experience Desirable technical skills: Nice to have technical skills: Ability to participate in multi-faceted team environment. Excellent written and verbal communication skills We are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end we offer a wide range of technical and personal development courses both in-house and through third-party providers."It is a fast-paced and dynamic working environment where each day is interesting and challenging. There's also an incredible pool of talent and skills within EDFT. I'm continuously learning from my colleagues. There is no 'typical' day. I work on a wide range of compensation, benefit and mobility projects throughout the year. One thing's for sure though, I'll have my head in a spreadsheet at some point."
Feb 03, 2026
Full time
The Quantitative Solutions department is business focussed and prides itself in being subject matter experts across our core areas: business knowledge, research and development of derivatives models and strategies, analytical tools, producing scalable performant services for pricing and risk. Team Description The Quantitative Development team is part of Quantitative Solutions which sits in the Front Office and is the centre of quantitative development capability for EDF Trading. It has direct responsibility over the development and maintenance of EDF Trading's derivative systems infrastructure. The team also provides other front office analytical tools for both traders and structurers, with the support of other teams in the group. Core Responsibilities Development Engage with the Head of the Quantitative Development team for the delivery of any development work within the agreed timelines. Adhere to the company's standards and best practices, including, but not limited to, documentation, testing and peer review Use technology appropriately and flexibly, taking into consideration the company's strategy and recommendations. Provide full visibility of work undertaken via backlog of requests. Implement software engineering best practices and develop high quality code with appropriate test coverage Refactor and enhance existing components and solutions to standardise and reduce duplication. Provide detailed documentation of the application/component features being developed. Assist production operations team in testing, rollout and production support. Ability to work in a fast-paced environment.Analytics and other front office tools Be able to develop and support and carry out investigations on the company's main derivative analytics' platform under the supervision of a senior member of the team. Be able to support and further develop other desktop tools built by the quantitative development team. Take ownership of the development infrastructure required by the above tools and, whenever possible, adopt the company's standard toolset for source code repository, continuous build and deployment. Work closely with other teams in the group on various technical aspects such as model integration, performance, improvements and tracking issues to deliver highly reliable and highly complex technical solutions. Coordinate and communicate specific subject matter knowledge to the design and integration phase of each project.Support to the Business Engage with the business to assist them in understanding and defining their requirements for any systems and tools supported by the team. Provide technical advice to the business units by identifying the most appropriate tools/processes for any given task. Experience Required Required experience: Software development experience Desirable experience: Experience in a technology team within a financial institution, ideally in a front office Previous experience working within a trading operation, preferably energy or other commodity trading, with a full understanding of the trade life cycleUnderstanding of financial products, preferably including derivative and option products, In addition familiarity with physically delivered commodities is desirable.Essential technical skills: C/C+ development experience Python experience Desirable technical skills: Nice to have technical skills: Ability to participate in multi-faceted team environment. Excellent written and verbal communication skills We are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end we offer a wide range of technical and personal development courses both in-house and through third-party providers."It is a fast-paced and dynamic working environment where each day is interesting and challenging. There's also an incredible pool of talent and skills within EDFT. I'm continuously learning from my colleagues. There is no 'typical' day. I work on a wide range of compensation, benefit and mobility projects throughout the year. One thing's for sure though, I'll have my head in a spreadsheet at some point."
Business Intelligence Analyst Job Profile Business intelligence analysts are responsible for collating and analysing data to identify patterns and predict future trends, which inform short-term and long-term business decisions. As a business intelligence analyst or business analyst, your duties entail developing methodologies to analyse data, complex data modelling, and reporting to senior management. Your technical ability and sense of business acumen will create valuable insights, which will become the driving forces behind every aspect of the business or organisation - from streamlining services to initiatives to boost sales. Responsibilities As a business intelligence analyst, you will typically be responsible for: Reviewing and improving data collation processes. Assessing the validity and accuracy of data collected. Meeting with external and internal stakeholders to find aspects of the business that could benefit from intelligence analysis. Keeping up to date on laws and policies concerning data collection and processing. Utilising data processing software and researching new software packages. Finding data anomalies and issues with data collection strategies which contribute to the collection of unreliable data. Identifying ways to streamline processes and increase efficiency. Identifying trends in buying patterns, product performance and customer behaviour. Liaising with IT departments regarding data storage systems. The starting salary of a junior business intelligence analyst is £32,419 per year. The average salary of a business intelligence analyst is £46,446 per year. The earning potential of a senior business intelligence analyst is £61,078 per year. Working Hours Business intelligence analysts typically work 37.5 hours per week, from 9 am to 5 pm; however, overtime is occasionally required. Due to the demanding nature of the profession, a certain degree of flexibility is required, and part-time roles aren't commonly available. What to Expect Business intelligence analysts undertake a dynamic set of duties, largely revolving around working with vast volumes of data and extrapolating valuable information. The role can be stressful and challenging. However, it is a rewarding role for the right candidates who feel comfortable handling quantitative data; many business analysts report positively on their work-life balance. You may need to travel between local, regional, and international sites within the organisation. The demand for business intelligence analysts is growing in the UK; over the next decade, it has been forecasted that there will be 284,100 new roles. Competition for analyst roles is high, and they don't typically tend to be entry-level positions. Qualifications Most business intelligence analysts hold a bachelor's degree or higher in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. Ideally, your educational background, in addition to your work experience and sense of business acumen, should prove proficiency in programming and advanced database interrogation. Skills As a business intelligence analyst, you will need: To be proficient in analysing large sets of data to extract meaningful insights. Technical expertise and proficiency in popular database systems, such as Oracle and SQL. Advanced Excel skills, including an ability to use complex formulas. Familiarity with programming languages, business intelligence tools, and data modelling techniques. Confidence in your problem-solving skills. Creative and critical thinking skills to enable you to approach issues with a questioning and logical mind. Strong written and verbal communication skills which allow you to convey complex insights and liaise with stakeholders who may not have a strong technical background. The ability to understand business processes, objectives, and strategies. Time management and resource allocation skills which allow you to effectively manage projects and deadlines. An understanding of data protection laws - especially when handling sensitive information. A willingness to keep up with the latest trends in data analytics and business intelligence technologies. To be comfortable with collaboration and teamwork. The ability to handle sensitive data responsibly and ethically. Work Experience To create a solid foundation for a career in business intelligence, candidates will typically need work experience which hones their data analysis skills, technical proficiency, and business understanding. The common roles used as stepping stones into the industry include data analyst, junior business analyst, database administrator, database developer, market research analyst, IT support analyst, financial analyst, statistical analyst, operations analyst, and reporting analyst roles. As with many technical roles, the career prospects for business intelligence analysts are incredibly promising. There is no shortage of pathways for specialisation and advancement once experience has been gained and skills have been demonstrated. Areas in which BI analysts can specialise include marketing analytics, healthcare analytics, and financial analytics. In addition to progressing into senior, manager, lead and strategic roles, BI analysts can consider careers in data science, business intelligence consultancy, or becoming a business intelligence architect, director of analytics, product manager, or chief data officer. These career paths reflect the increasing importance of data-driven decision-making in business and the diverse opportunities available for people skilled in business intelligence and analytics. Employers Business Intelligence Analysts are employed across a wide range of sectors. Some of the main employers include: Healthcare, including the NHS and private healthcare providers. Financial services, such as insurance companies, investment firms and banks. Telecommunication and technology companies. Government and the public sector. E-commerce companies and large retail brands. Logistical and manufacturing companies. Research and education institutions. Utility companies.
Feb 03, 2026
Full time
Business Intelligence Analyst Job Profile Business intelligence analysts are responsible for collating and analysing data to identify patterns and predict future trends, which inform short-term and long-term business decisions. As a business intelligence analyst or business analyst, your duties entail developing methodologies to analyse data, complex data modelling, and reporting to senior management. Your technical ability and sense of business acumen will create valuable insights, which will become the driving forces behind every aspect of the business or organisation - from streamlining services to initiatives to boost sales. Responsibilities As a business intelligence analyst, you will typically be responsible for: Reviewing and improving data collation processes. Assessing the validity and accuracy of data collected. Meeting with external and internal stakeholders to find aspects of the business that could benefit from intelligence analysis. Keeping up to date on laws and policies concerning data collection and processing. Utilising data processing software and researching new software packages. Finding data anomalies and issues with data collection strategies which contribute to the collection of unreliable data. Identifying ways to streamline processes and increase efficiency. Identifying trends in buying patterns, product performance and customer behaviour. Liaising with IT departments regarding data storage systems. The starting salary of a junior business intelligence analyst is £32,419 per year. The average salary of a business intelligence analyst is £46,446 per year. The earning potential of a senior business intelligence analyst is £61,078 per year. Working Hours Business intelligence analysts typically work 37.5 hours per week, from 9 am to 5 pm; however, overtime is occasionally required. Due to the demanding nature of the profession, a certain degree of flexibility is required, and part-time roles aren't commonly available. What to Expect Business intelligence analysts undertake a dynamic set of duties, largely revolving around working with vast volumes of data and extrapolating valuable information. The role can be stressful and challenging. However, it is a rewarding role for the right candidates who feel comfortable handling quantitative data; many business analysts report positively on their work-life balance. You may need to travel between local, regional, and international sites within the organisation. The demand for business intelligence analysts is growing in the UK; over the next decade, it has been forecasted that there will be 284,100 new roles. Competition for analyst roles is high, and they don't typically tend to be entry-level positions. Qualifications Most business intelligence analysts hold a bachelor's degree or higher in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. Ideally, your educational background, in addition to your work experience and sense of business acumen, should prove proficiency in programming and advanced database interrogation. Skills As a business intelligence analyst, you will need: To be proficient in analysing large sets of data to extract meaningful insights. Technical expertise and proficiency in popular database systems, such as Oracle and SQL. Advanced Excel skills, including an ability to use complex formulas. Familiarity with programming languages, business intelligence tools, and data modelling techniques. Confidence in your problem-solving skills. Creative and critical thinking skills to enable you to approach issues with a questioning and logical mind. Strong written and verbal communication skills which allow you to convey complex insights and liaise with stakeholders who may not have a strong technical background. The ability to understand business processes, objectives, and strategies. Time management and resource allocation skills which allow you to effectively manage projects and deadlines. An understanding of data protection laws - especially when handling sensitive information. A willingness to keep up with the latest trends in data analytics and business intelligence technologies. To be comfortable with collaboration and teamwork. The ability to handle sensitive data responsibly and ethically. Work Experience To create a solid foundation for a career in business intelligence, candidates will typically need work experience which hones their data analysis skills, technical proficiency, and business understanding. The common roles used as stepping stones into the industry include data analyst, junior business analyst, database administrator, database developer, market research analyst, IT support analyst, financial analyst, statistical analyst, operations analyst, and reporting analyst roles. As with many technical roles, the career prospects for business intelligence analysts are incredibly promising. There is no shortage of pathways for specialisation and advancement once experience has been gained and skills have been demonstrated. Areas in which BI analysts can specialise include marketing analytics, healthcare analytics, and financial analytics. In addition to progressing into senior, manager, lead and strategic roles, BI analysts can consider careers in data science, business intelligence consultancy, or becoming a business intelligence architect, director of analytics, product manager, or chief data officer. These career paths reflect the increasing importance of data-driven decision-making in business and the diverse opportunities available for people skilled in business intelligence and analytics. Employers Business Intelligence Analysts are employed across a wide range of sectors. Some of the main employers include: Healthcare, including the NHS and private healthcare providers. Financial services, such as insurance companies, investment firms and banks. Telecommunication and technology companies. Government and the public sector. E-commerce companies and large retail brands. Logistical and manufacturing companies. Research and education institutions. Utility companies.
# Work With UsDebt Capital Management Director page is loaded Debt Capital Management Directorlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R009064Tishman Speyer creates vibrant destinations and dynamic environments that inspire innovation and connected communities. As a diversified developer, operator, and investment manager of top-tier real estate in 33 markets across the globe, our business choices are driven by the belief that real estate should unlock human potential. Tishman Speyer's diversified portfolio spans market rate and affordable residential communities, premier office properties and retail spaces, industrial facilities, and mixed-use campuses. We create state-of-the-art life science centers through our Breakthrough Properties joint venture, and foster innovation through our strategic proptech investments. By combining global perspective with local expertise, and a personalized approach, we are able to anticipate our customers' evolving needs. We were the first real estate company to introduce asset-wide amenity services through our ZO platform, and the first traditional real estate company to create its own flexible space and coworking brand, Studio.Since our founding in 1978, Tishman Speyer has acquired, developed, and operated 522 properties, totaling 218 million square feet, with a combined value of over $129 billion (U.S.). Tishman Speyer currently has approximately $68 billion in assets under management, including iconic properties such as Rockefeller Center in New York City, The Springs in Shanghai, TaunusTurm in Frankfurt, and Mission Rock in San Francisco. Summary of the Position: The Director will provide essential analysis and financial modeling for various debt financing structures for the company's ground-up development, acquisition, and in-portfolio properties. The Director will also assist in the marketing and negotiation of commercial real estate loans directly with prospective lenders. The individual must have strong interpersonal skills to interact and collaborate with teammates and senior management. Experience in cash flow analysis and underwriting, financial reports, and experience with commercial loans is essential. The individual will work with various disciplines of the firm, including Acquisitions, Development, Asset Management, Leasing, Accounting, Property Management, Equity Capital Markets, and Design & Construction. Key Responsibilities: Supporting senior team members during the loan marketing and closing process, including through the preparation of financial analyses, internal management updates, lender marketing materials, and assist in the lender communication and loan negotiation process. Managing diligence process with potential lenders, acting as primary point of contact and liaison between lenders and senior team members. Proactively reviewing existing portfolio loans and upcoming financing pipeline to generate attractive new opportunities. Producing internal memoranda and analyses highlighting trends in the commercial financing markets and/or pertaining to Tishman Speyer's loan portfolio. Provide research support for senior team members and for presentations to senior management. Keeping abreast of local real estate financing markets information in Europe and the UK on an on-going basis. Regularly review newsletters and publications to remain current and update internal team. Skills & Qualifications: The candidate will directly interact with colleagues throughout the organization, in France, the UK, Germany and Spain and therefore should have strong quantitative and analytical skills, be detail-oriented, articulate and well organized. The candidate must display initiative, good judgment in managing multiple tasks and strong problem solving skills. The ability to think strategically and to present information in a clear and concise manner is critical. Other qualifications include: 6-8 years of commercial real estate experience, with debt financing experience, including the marketing, structuring, negotiation, and closing of commercial real estate loans, required. Excellent financial modeling skills and analytical skills, including a high degree of proficiency with Excel. Prior pan-European experience on the lending side or borrower/equity side is required, with strong structuring and negotiation skills to secure favorable terms and conditions. The ability to work independently and proactively with exceptional attention to detail. The ability to multitask and collaborate with different departments and work on several projects at the same time with different deadlines The ability to communicate effectively across all functions and with senior management. The ability to build and maintain relationships with lenders, investors and other stakeholders The ability to identify potential issues and develop strategies to address them. High ethical standards to ensure transparency and integrity in dealings Given the pan-European nature of the role, the candidate will need to have excellent oral and written communication skills in English and in French. German proficiency would be a plus. Demonstrated academic success with a bachelor's degree in areas such as finance, economics, accounting or other analytical/quantitative fields.We are proud to be an Equal Opportunity Employer and treat all applicants for employment equally based upon job-related qualifications and without regards to race, color, age, sex, sexual orientation, gender identity, gender expression, marital status, military or veteran status, national origin, disability, religion, or any other characteristics protected by law.Tishman Speyer is deeply committed to creating and maintaining a diverse workforce which promotes different views and perspectives. We expect our leaders and employees alike to champion diversity and inclusion practices. Tishman Speyer has several employee affinity and interest groups that provide employees opportunities to develop professional relationships across the business and identify opportunities for development and advancement.Welcome to the original home of New York glamour and entertainment: The Rainbow RoomWe firmly believe that our team members are the key to our success at the Rainbow Room. Our goal is to deliver the best guest experience and create special memories for all our customers. For our staff, we strive to provide an environment that offers challenging, stimulating and rewarding opportunities.Join our team and discover a work experience where new ideas are met with enthusiasm and where you can grow to your full potential. We are seeking individuals committed to delivering the best service in the hospitality industry, and who enjoy working as a team to create magical moments in one of the most iconic locations in the world.
Feb 03, 2026
Full time
# Work With UsDebt Capital Management Director page is loaded Debt Capital Management Directorlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R009064Tishman Speyer creates vibrant destinations and dynamic environments that inspire innovation and connected communities. As a diversified developer, operator, and investment manager of top-tier real estate in 33 markets across the globe, our business choices are driven by the belief that real estate should unlock human potential. Tishman Speyer's diversified portfolio spans market rate and affordable residential communities, premier office properties and retail spaces, industrial facilities, and mixed-use campuses. We create state-of-the-art life science centers through our Breakthrough Properties joint venture, and foster innovation through our strategic proptech investments. By combining global perspective with local expertise, and a personalized approach, we are able to anticipate our customers' evolving needs. We were the first real estate company to introduce asset-wide amenity services through our ZO platform, and the first traditional real estate company to create its own flexible space and coworking brand, Studio.Since our founding in 1978, Tishman Speyer has acquired, developed, and operated 522 properties, totaling 218 million square feet, with a combined value of over $129 billion (U.S.). Tishman Speyer currently has approximately $68 billion in assets under management, including iconic properties such as Rockefeller Center in New York City, The Springs in Shanghai, TaunusTurm in Frankfurt, and Mission Rock in San Francisco. Summary of the Position: The Director will provide essential analysis and financial modeling for various debt financing structures for the company's ground-up development, acquisition, and in-portfolio properties. The Director will also assist in the marketing and negotiation of commercial real estate loans directly with prospective lenders. The individual must have strong interpersonal skills to interact and collaborate with teammates and senior management. Experience in cash flow analysis and underwriting, financial reports, and experience with commercial loans is essential. The individual will work with various disciplines of the firm, including Acquisitions, Development, Asset Management, Leasing, Accounting, Property Management, Equity Capital Markets, and Design & Construction. Key Responsibilities: Supporting senior team members during the loan marketing and closing process, including through the preparation of financial analyses, internal management updates, lender marketing materials, and assist in the lender communication and loan negotiation process. Managing diligence process with potential lenders, acting as primary point of contact and liaison between lenders and senior team members. Proactively reviewing existing portfolio loans and upcoming financing pipeline to generate attractive new opportunities. Producing internal memoranda and analyses highlighting trends in the commercial financing markets and/or pertaining to Tishman Speyer's loan portfolio. Provide research support for senior team members and for presentations to senior management. Keeping abreast of local real estate financing markets information in Europe and the UK on an on-going basis. Regularly review newsletters and publications to remain current and update internal team. Skills & Qualifications: The candidate will directly interact with colleagues throughout the organization, in France, the UK, Germany and Spain and therefore should have strong quantitative and analytical skills, be detail-oriented, articulate and well organized. The candidate must display initiative, good judgment in managing multiple tasks and strong problem solving skills. The ability to think strategically and to present information in a clear and concise manner is critical. Other qualifications include: 6-8 years of commercial real estate experience, with debt financing experience, including the marketing, structuring, negotiation, and closing of commercial real estate loans, required. Excellent financial modeling skills and analytical skills, including a high degree of proficiency with Excel. Prior pan-European experience on the lending side or borrower/equity side is required, with strong structuring and negotiation skills to secure favorable terms and conditions. The ability to work independently and proactively with exceptional attention to detail. The ability to multitask and collaborate with different departments and work on several projects at the same time with different deadlines The ability to communicate effectively across all functions and with senior management. The ability to build and maintain relationships with lenders, investors and other stakeholders The ability to identify potential issues and develop strategies to address them. High ethical standards to ensure transparency and integrity in dealings Given the pan-European nature of the role, the candidate will need to have excellent oral and written communication skills in English and in French. German proficiency would be a plus. Demonstrated academic success with a bachelor's degree in areas such as finance, economics, accounting or other analytical/quantitative fields.We are proud to be an Equal Opportunity Employer and treat all applicants for employment equally based upon job-related qualifications and without regards to race, color, age, sex, sexual orientation, gender identity, gender expression, marital status, military or veteran status, national origin, disability, religion, or any other characteristics protected by law.Tishman Speyer is deeply committed to creating and maintaining a diverse workforce which promotes different views and perspectives. We expect our leaders and employees alike to champion diversity and inclusion practices. Tishman Speyer has several employee affinity and interest groups that provide employees opportunities to develop professional relationships across the business and identify opportunities for development and advancement.Welcome to the original home of New York glamour and entertainment: The Rainbow RoomWe firmly believe that our team members are the key to our success at the Rainbow Room. Our goal is to deliver the best guest experience and create special memories for all our customers. For our staff, we strive to provide an environment that offers challenging, stimulating and rewarding opportunities.Join our team and discover a work experience where new ideas are met with enthusiasm and where you can grow to your full potential. We are seeking individuals committed to delivering the best service in the hospitality industry, and who enjoy working as a team to create magical moments in one of the most iconic locations in the world.
User Researcher (Mid-level & Senior) Location: UK-wide (Hybrid - 2 days per week in a local office) Salary: Mid-level: 50,000 - 55,000 Senior: 60,000 - 70,000 Our client, a leading digital consultancy working across the public sector and beyond, is looking to hire two User Researchers (one mid-level and one senior) to support the delivery of high-quality, user-centred digital services. This is a hybrid role , requiring two days per week in an office . The client has multiple office locations across the UK, including London, Bristol, Cardiff, Birmingham, Liverpool, Manchester and Edinburgh. Candidates will attend the office closest to their home. The Role The successful candidates will work within multidisciplinary agile teams , helping to design and deliver digital services that meet the Government Digital Service (GDS) standards . You will plan and conduct user research, translate insights into actionable recommendations, and influence product and service direction. Responsibilities will include: Designing and delivering qualitative and quantitative user research Developing research strategies and roadmaps Working closely with designers, product managers, analysts and developers Advocating for users, including those with accessibility needs Presenting insights and recommendations to senior stakeholders Mentoring junior researchers (senior role) About You Candidates will have strong experience in user-centred design and human-centred research , with a proven ability to select and apply appropriate research methods. Experience working in government or regulated environments , agile teams, and contributing to GDS or service assessments is highly desirable. For the senior role, the ability to lead research programmes , manage stakeholders, and mentor others is essential. Additional Information Candidates must be based in the UK with existing right to work (no sponsorship available) Successful applicants will be required to obtain Security Check (SC) clearance , including 5 years' UK residency Pre-employment checks will apply This is an excellent opportunity to work on transformational digital services with real societal impact, while benefiting from long-term career development in a supportive and forward-thinking environment. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Jan 30, 2026
Full time
User Researcher (Mid-level & Senior) Location: UK-wide (Hybrid - 2 days per week in a local office) Salary: Mid-level: 50,000 - 55,000 Senior: 60,000 - 70,000 Our client, a leading digital consultancy working across the public sector and beyond, is looking to hire two User Researchers (one mid-level and one senior) to support the delivery of high-quality, user-centred digital services. This is a hybrid role , requiring two days per week in an office . The client has multiple office locations across the UK, including London, Bristol, Cardiff, Birmingham, Liverpool, Manchester and Edinburgh. Candidates will attend the office closest to their home. The Role The successful candidates will work within multidisciplinary agile teams , helping to design and deliver digital services that meet the Government Digital Service (GDS) standards . You will plan and conduct user research, translate insights into actionable recommendations, and influence product and service direction. Responsibilities will include: Designing and delivering qualitative and quantitative user research Developing research strategies and roadmaps Working closely with designers, product managers, analysts and developers Advocating for users, including those with accessibility needs Presenting insights and recommendations to senior stakeholders Mentoring junior researchers (senior role) About You Candidates will have strong experience in user-centred design and human-centred research , with a proven ability to select and apply appropriate research methods. Experience working in government or regulated environments , agile teams, and contributing to GDS or service assessments is highly desirable. For the senior role, the ability to lead research programmes , manage stakeholders, and mentor others is essential. Additional Information Candidates must be based in the UK with existing right to work (no sponsorship available) Successful applicants will be required to obtain Security Check (SC) clearance , including 5 years' UK residency Pre-employment checks will apply This is an excellent opportunity to work on transformational digital services with real societal impact, while benefiting from long-term career development in a supportive and forward-thinking environment. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
