Job Description What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. A little bit more about your role: Perform modelling, quantitative and qualitative analysis to assess impact of policy, regulation, technological and customer change on power networks and energy markets; Translate the results of complex analysis into high-level outcomes and recommendations which can be understood by senior decision makers. Advise our clients, through project delivery, on strategic power network development and operation, network innovation, network economic regulation and power markets; Provide technical and project management leadership to support the project team in the successful delivery of consulting work; and Lead and support the development of proposals and bids as well as actively winning work on power networks and energy markets. The purpose of the Energy Strategy Consulting (ESC) team is to support and inform the strategic choices of stakeholders in the smart and flexible energy system. We provide advice, support and tools to underpin the delivery of green, cost-effective, safe, smart and flexible energy systems. Our key subject matter areas within ESC include: Energy networks regulation Energy networks strategic planning and operation Energy networks innovation development and delivery Techno-economic modelling and analysis Power markets analysis, reform and restructuring Our clients cover the full energy value chain and include governments, regulators, utilities, developers of renewable energy technologies, investors, manufacturers and industrial customers. In particular, this role will focus on techno-economic modelling and analysis, and associated strategic advice, in relation to power networks innovation and regulation for Electricity System Operators, Transmission Owners, Distribution Network Operators, Energy Utilities, Regulators and Governments in the UK and internationally. Specifically, project work will focus on power network utility business transformation. This includes: the strategic transition to Distribution System Operator (transition from DNO to DSO); the procurement, dispatch and management of distributed flexibility services for distribution network support; techno-commercial viability of innovative technologies/solutions for energy utilities; and business models and techno-economic modelling for national and local authorities. What we will be looking for you to demonstrate: Educated to degree level in Maths, Science, Engineering or Economics related subject Demonstrable experience in a technical consulting role, ideally within a consultancy environment Experience in advising power utilities on market and / or regulatory matters Experience in a technical modelling and analysis role within a commercial industry setting Technical and project management experience in delivering consulting projects for end clients Experience of leading and developing winning proposals for energy advisory consulting work. Focus on quality, ensuring excellence of deliverables for both project reports and proposals Don't quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team. Imagine a better future for you and a better future for us all. Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today. About Us We are one of the world's leading engineering and professional services firms. Our 72,800 passionate people are united by the common purpose of creating positive, long-lasting impacts on the communities we serve through a culture of innovation, integrity, and inclusion. With over 9,000 professionals across the UK and Ireland, we are dedicated to our local communities and propelled by international brainpower. WHAT'S IN IT FOR YOU? Work-life balance At WSP, we understand that work is just one aspect of your life. It's important to make time for you, your family, friends, interests and your community. Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK. Inclusivity & Belonging We welcome applicants with varied backgrounds and experiences. We enable rewarding careers by encouraging people to bring their whole and authentic selves to work so that our work represents the fullest spectrum of society. We celebrate integrity and treat people with respect, supporting each other and embracing a culture of inclusion and belonging at WSP. We have our employee resource groups bring together employees and allies with different backgrounds to promote our culture of inclusivity. Health & Wellbeing We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you - giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package. Flex your time To enhance work-life balance, WSP offers the "WSP My Hour," allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day. We also provide part-time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you. Your development We understand the importance of development and training to you. That's why we foster a supportive environment that invests in your growth, whether through training, mentoring, or Chartership. Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. As a Disability Confident leader, we will interview all disabled applicants who meet the essential criteria, please let us know if you require any workplace adjustments in support of your application.
Aug 02, 2025
Full time
Job Description What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. A little bit more about your role: Perform modelling, quantitative and qualitative analysis to assess impact of policy, regulation, technological and customer change on power networks and energy markets; Translate the results of complex analysis into high-level outcomes and recommendations which can be understood by senior decision makers. Advise our clients, through project delivery, on strategic power network development and operation, network innovation, network economic regulation and power markets; Provide technical and project management leadership to support the project team in the successful delivery of consulting work; and Lead and support the development of proposals and bids as well as actively winning work on power networks and energy markets. The purpose of the Energy Strategy Consulting (ESC) team is to support and inform the strategic choices of stakeholders in the smart and flexible energy system. We provide advice, support and tools to underpin the delivery of green, cost-effective, safe, smart and flexible energy systems. Our key subject matter areas within ESC include: Energy networks regulation Energy networks strategic planning and operation Energy networks innovation development and delivery Techno-economic modelling and analysis Power markets analysis, reform and restructuring Our clients cover the full energy value chain and include governments, regulators, utilities, developers of renewable energy technologies, investors, manufacturers and industrial customers. In particular, this role will focus on techno-economic modelling and analysis, and associated strategic advice, in relation to power networks innovation and regulation for Electricity System Operators, Transmission Owners, Distribution Network Operators, Energy Utilities, Regulators and Governments in the UK and internationally. Specifically, project work will focus on power network utility business transformation. This includes: the strategic transition to Distribution System Operator (transition from DNO to DSO); the procurement, dispatch and management of distributed flexibility services for distribution network support; techno-commercial viability of innovative technologies/solutions for energy utilities; and business models and techno-economic modelling for national and local authorities. What we will be looking for you to demonstrate: Educated to degree level in Maths, Science, Engineering or Economics related subject Demonstrable experience in a technical consulting role, ideally within a consultancy environment Experience in advising power utilities on market and / or regulatory matters Experience in a technical modelling and analysis role within a commercial industry setting Technical and project management experience in delivering consulting projects for end clients Experience of leading and developing winning proposals for energy advisory consulting work. Focus on quality, ensuring excellence of deliverables for both project reports and proposals Don't quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team. Imagine a better future for you and a better future for us all. Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today. About Us We are one of the world's leading engineering and professional services firms. Our 72,800 passionate people are united by the common purpose of creating positive, long-lasting impacts on the communities we serve through a culture of innovation, integrity, and inclusion. With over 9,000 professionals across the UK and Ireland, we are dedicated to our local communities and propelled by international brainpower. WHAT'S IN IT FOR YOU? Work-life balance At WSP, we understand that work is just one aspect of your life. It's important to make time for you, your family, friends, interests and your community. Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK. Inclusivity & Belonging We welcome applicants with varied backgrounds and experiences. We enable rewarding careers by encouraging people to bring their whole and authentic selves to work so that our work represents the fullest spectrum of society. We celebrate integrity and treat people with respect, supporting each other and embracing a culture of inclusion and belonging at WSP. We have our employee resource groups bring together employees and allies with different backgrounds to promote our culture of inclusivity. Health & Wellbeing We are committed to supporting our people, giving you the tools to make improvements to your health and wellbeing through our Thrive programme. Our Virtual GP service gives you access to an NHS or Irish Medical Council GP at a time and place that suits you - giving you peace of mind and quick access to medical advice when you need it most. We also provide reasonable workplace adjustments for those in need. Additionally, you can benefit from the Gymflex scheme, which offers up to 40% off annual gym memberships through our WSP flexible benefits program, as well as a comprehensive menopause support package. Flex your time To enhance work-life balance, WSP offers the "WSP My Hour," allowing you to take one hour each day for personal activities, with the flexibility to make up the time earlier or later that day. We also provide part-time and flexible working arrangements, the option to purchase additional leave, and the ability to use your bank holiday entitlement to suit you. Your development We understand the importance of development and training to you. That's why we foster a supportive environment that invests in your growth, whether through training, mentoring, or Chartership. Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. As a Disability Confident leader, we will interview all disabled applicants who meet the essential criteria, please let us know if you require any workplace adjustments in support of your application.
Director, Open Banking Product Management page is loaded Director, Open Banking Product Management Apply locations London, England (Angel Lane) time type Full time posted on Posted Yesterday job requisition id R-251782 Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Open Banking Product ManagementJob Description - Director, Open Banking Product Management OVERVIEW The Global Open Banking and API team is responsible for developing and building the future of open banking and a developer-first approach that propels innovation with fintech and other partners, in support of realizing Mastercard's multi-rail potential. The Director, Open Banking Product Management will be responsible for supporting the development and refinement of our commercialization and strategic efforts to help increase market share and revenue by creating a sustained competitive advantage. • Do you enjoy working on complex business problems? • Are you adept at communicating complex ideas effectively? • Have you ever successfully influenced others on your strategic point of view? • Are you motivated by a dynamic, changing business environment and its opportunities and challenges? ROLE The Director will have a proven track record of working effectively in a team to drive to successful outcomes, exceptional analytical and quantitative problem-solving skills, and strong written and verbal communication skills. More specifically, the candidate will work to: • Drive high-impact strategic initiatives for Open Banking, from conceptualization and problem structuring through to delivering actionable recommendations based on rigorous analysis and research. • Develop and articulate compelling strategic narratives, crafting impactful presentations and memos to inform and influence senior executives across Mastercard. • Proactively identify and analyze critical industry shifts and competitive dynamics, translating insights into strategic implications and opportunities for Mastercard's Open Banking division. • Partner with and advise product owners across the business, guiding strategic insight generation, robust business case development, and the identification of new growth avenues to accelerate their objectives. • Originate and champion innovative growth strategies for Open Banking, leveraging deep market understanding and competitive intelligence to define new pathways for expansion. • Provide strategic oversight for key operational functions, including quarterly business reviews, KPI framework development, planning processes, and proactive risk management. • Mentor and develop junior team members, fostering a culture of high performance, strategic thinking, and continuous learning within the team. ALL ABOUT YOU • Bachelor's degree required, MBA and/or advanced degree from a top-tier program preferred • Knowledge of payments and/or financial services industry required • 7+ years of total work experience including 4+ years of strategy consulting experience at a leading consulting firm and/or internal strategy units, including at least one year of project leadership • Exemplary analytical and problem-solving skills and business acumen; seasoned in identifying the most critical aspects of a problem and handling ambiguity • Demonstrated ability to lead company-wide, complex projects from start to finish, effectively driving forward project plans and leveraging stakeholder management and influencing skills • Experience managing a team, and influencing teammates towards an objective • Exceptional verbal and written communication skills, with the ability to develop high-quality presentations and memos independently • Ability to structure ambiguous problems, break down complex asks into tangible steps • Ability to work effectively with people at all levels in an organization • Experience working on a cross-functional team/project to come up with the best solution • Be a good collaborator and listener, influencer and able to navigate a matrixed organization and /reporting structure. Be able to navigate ambiguity with ease. • Strong aptitude for modelling and applying quantitative analytical approaches Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Aug 01, 2025
Full time
Director, Open Banking Product Management page is loaded Director, Open Banking Product Management Apply locations London, England (Angel Lane) time type Full time posted on Posted Yesterday job requisition id R-251782 Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Open Banking Product ManagementJob Description - Director, Open Banking Product Management OVERVIEW The Global Open Banking and API team is responsible for developing and building the future of open banking and a developer-first approach that propels innovation with fintech and other partners, in support of realizing Mastercard's multi-rail potential. The Director, Open Banking Product Management will be responsible for supporting the development and refinement of our commercialization and strategic efforts to help increase market share and revenue by creating a sustained competitive advantage. • Do you enjoy working on complex business problems? • Are you adept at communicating complex ideas effectively? • Have you ever successfully influenced others on your strategic point of view? • Are you motivated by a dynamic, changing business environment and its opportunities and challenges? ROLE The Director will have a proven track record of working effectively in a team to drive to successful outcomes, exceptional analytical and quantitative problem-solving skills, and strong written and verbal communication skills. More specifically, the candidate will work to: • Drive high-impact strategic initiatives for Open Banking, from conceptualization and problem structuring through to delivering actionable recommendations based on rigorous analysis and research. • Develop and articulate compelling strategic narratives, crafting impactful presentations and memos to inform and influence senior executives across Mastercard. • Proactively identify and analyze critical industry shifts and competitive dynamics, translating insights into strategic implications and opportunities for Mastercard's Open Banking division. • Partner with and advise product owners across the business, guiding strategic insight generation, robust business case development, and the identification of new growth avenues to accelerate their objectives. • Originate and champion innovative growth strategies for Open Banking, leveraging deep market understanding and competitive intelligence to define new pathways for expansion. • Provide strategic oversight for key operational functions, including quarterly business reviews, KPI framework development, planning processes, and proactive risk management. • Mentor and develop junior team members, fostering a culture of high performance, strategic thinking, and continuous learning within the team. ALL ABOUT YOU • Bachelor's degree required, MBA and/or advanced degree from a top-tier program preferred • Knowledge of payments and/or financial services industry required • 7+ years of total work experience including 4+ years of strategy consulting experience at a leading consulting firm and/or internal strategy units, including at least one year of project leadership • Exemplary analytical and problem-solving skills and business acumen; seasoned in identifying the most critical aspects of a problem and handling ambiguity • Demonstrated ability to lead company-wide, complex projects from start to finish, effectively driving forward project plans and leveraging stakeholder management and influencing skills • Experience managing a team, and influencing teammates towards an objective • Exceptional verbal and written communication skills, with the ability to develop high-quality presentations and memos independently • Ability to structure ambiguous problems, break down complex asks into tangible steps • Ability to work effectively with people at all levels in an organization • Experience working on a cross-functional team/project to come up with the best solution • Be a good collaborator and listener, influencer and able to navigate a matrixed organization and /reporting structure. Be able to navigate ambiguity with ease. • Strong aptitude for modelling and applying quantitative analytical approaches Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Position Overview The Quant Trader - Execution will be responsible for developing, implementing, and optimizing execution algorithms and strategies for our firm's systematic trading and market making activities. Reporting to the Head of Quantitative Trading, this role combines deep technical expertise in trade execution methodologies with market microstructure knowledge to minimize trading costs, market impact, and slippage while maximizing the efficiency of our trading operations across multiple asset classes. Key Responsibilities Research & Development Develop and enhance proprietary execution algorithms for various market conditions and trading strategies Research market microstructure across venues and asset classes to identify optimal execution approaches Design and implement intelligent order routing approaches and smart order types Collaborate with researchers and developers to translate execution models into production-ready algorithms Stay current with academic and industry developments in execution methodologies, market microstructure, and exchange rules Trading & Execution Monitor and optimize real-time performance of execution algorithms Analyse transaction cost analysis (TCA) metrics and implement improvements to execution quality Develop strategies to minimize market impact and information leakage Contribute to the integration of execution algorithms into the broader portfolio of trading strategies Identify and capitalize on liquidity patterns across different market conditions Implement pre-trade and post-trade execution risk controls Ensure proper testing of execution algorithms under various market scenarios Identify and mitigate operational risks in execution processes Work closely with the risk team to establish appropriate risk parameters for execution strategies Monitor and manage execution quality metrics across different market conditions Partner with technology teams to implement and optimize execution infrastructure Report on execution performance and provide insights to the Head of Quantitative Trading Mentor junior quantitative researchers and analysts on execution methodologies Qualifications Education & Experience Advanced degree ( Masters or PhD) in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or related quantitative field 3+ years of experience in execution algorithms, electronic trading, or related quantitative finance roles Proven track record of developing and implementing successful execution strategies Experience in multiple asset classes with depth in at least one major market Strong understanding of market microstructure and order book dynamics Technical Skills Proficiency in programming languages used in quantitative finance (Python, C++, Java, etc.) Deep knowledge of exchange protocols, FIX messaging, and order types Understanding of low-latency systems and high-frequency trading techniques Experience with transaction cost analysis and execution quality measurement Familiarity with high-performance computing and real-time data processing Personal Qualities Exceptional analytical and problem-solving abilities Detail-oriented with strong technical intuition Intellectual curiosity and innovation mindset Ability to work collaboratively in a team environment Resilience and performance under pressure Integrity and ethical conduct in all aspects of trading How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here . The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
Jul 31, 2025
Full time
Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Position Overview The Quant Trader - Execution will be responsible for developing, implementing, and optimizing execution algorithms and strategies for our firm's systematic trading and market making activities. Reporting to the Head of Quantitative Trading, this role combines deep technical expertise in trade execution methodologies with market microstructure knowledge to minimize trading costs, market impact, and slippage while maximizing the efficiency of our trading operations across multiple asset classes. Key Responsibilities Research & Development Develop and enhance proprietary execution algorithms for various market conditions and trading strategies Research market microstructure across venues and asset classes to identify optimal execution approaches Design and implement intelligent order routing approaches and smart order types Collaborate with researchers and developers to translate execution models into production-ready algorithms Stay current with academic and industry developments in execution methodologies, market microstructure, and exchange rules Trading & Execution Monitor and optimize real-time performance of execution algorithms Analyse transaction cost analysis (TCA) metrics and implement improvements to execution quality Develop strategies to minimize market impact and information leakage Contribute to the integration of execution algorithms into the broader portfolio of trading strategies Identify and capitalize on liquidity patterns across different market conditions Implement pre-trade and post-trade execution risk controls Ensure proper testing of execution algorithms under various market scenarios Identify and mitigate operational risks in execution processes Work closely with the risk team to establish appropriate risk parameters for execution strategies Monitor and manage execution quality metrics across different market conditions Partner with technology teams to implement and optimize execution infrastructure Report on execution performance and provide insights to the Head of Quantitative Trading Mentor junior quantitative researchers and analysts on execution methodologies Qualifications Education & Experience Advanced degree ( Masters or PhD) in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or related quantitative field 3+ years of experience in execution algorithms, electronic trading, or related quantitative finance roles Proven track record of developing and implementing successful execution strategies Experience in multiple asset classes with depth in at least one major market Strong understanding of market microstructure and order book dynamics Technical Skills Proficiency in programming languages used in quantitative finance (Python, C++, Java, etc.) Deep knowledge of exchange protocols, FIX messaging, and order types Understanding of low-latency systems and high-frequency trading techniques Experience with transaction cost analysis and execution quality measurement Familiarity with high-performance computing and real-time data processing Personal Qualities Exceptional analytical and problem-solving abilities Detail-oriented with strong technical intuition Intellectual curiosity and innovation mindset Ability to work collaboratively in a team environment Resilience and performance under pressure Integrity and ethical conduct in all aspects of trading How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here . The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Option to participate and create ESG initiatives based on IG Brighter Future Fund Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents
Job Description At Goldman Sachs, our quantitative strategists are at the forefront of our business, solving real-world problems through various analytical methods. Working closely with traders and sales teams, strategists provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions. We are a team dedicated to transforming the Equity business via quantitative trading, automating key daily decisions. Our scope includes a wide range of products such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating closely with traders and salespeople to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading & Market Making desk by developing market-making and quoting strategies across equity products, from cash to derivatives. Employ advanced statistical and quantitative techniques, such as neural networks, to develop models that inform systematic trading and risk management decisions in real-time. Implement risk management frameworks and construct optimal portfolios across asset classes using factor models and other advanced techniques. Create model calibration frameworks for our statistical and AI models, handling large-scale time series data efficiently. Advance our market-making strategies by utilizing various technologies and collaborating closely with Quant Developers and engineering teams. Basic Qualifications Outstanding academic achievement in a relevant quantitative discipline such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in object-oriented or functional languages like C++, Java, or Python. About Goldman Sachs Goldman Sachs is committed to helping clients, shareholders, and communities grow through our people, capital, and ideas. Founded in 1869, we are a leading global investment banking, securities, and investment management firm, headquartered in New York with offices worldwide. We believe diversity and inclusion strengthen our organization. We offer various opportunities for professional and personal growth, including training, development programs, and wellness initiatives. Learn more at We are dedicated to providing reasonable accommodations for candidates with disabilities during the recruiting process. More information can be found at this link . The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate based on race, color, religion, sex, national origin, age, veteran status, disability, or any other protected characteristic.
Jul 31, 2025
Full time
Job Description At Goldman Sachs, our quantitative strategists are at the forefront of our business, solving real-world problems through various analytical methods. Working closely with traders and sales teams, strategists provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions. We are a team dedicated to transforming the Equity business via quantitative trading, automating key daily decisions. Our scope includes a wide range of products such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance, collaborating closely with traders and salespeople to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading & Market Making desk by developing market-making and quoting strategies across equity products, from cash to derivatives. Employ advanced statistical and quantitative techniques, such as neural networks, to develop models that inform systematic trading and risk management decisions in real-time. Implement risk management frameworks and construct optimal portfolios across asset classes using factor models and other advanced techniques. Create model calibration frameworks for our statistical and AI models, handling large-scale time series data efficiently. Advance our market-making strategies by utilizing various technologies and collaborating closely with Quant Developers and engineering teams. Basic Qualifications Outstanding academic achievement in a relevant quantitative discipline such as physics, mathematics, statistics, engineering, or computer science. Strong programming skills in object-oriented or functional languages like C++, Java, or Python. About Goldman Sachs Goldman Sachs is committed to helping clients, shareholders, and communities grow through our people, capital, and ideas. Founded in 1869, we are a leading global investment banking, securities, and investment management firm, headquartered in New York with offices worldwide. We believe diversity and inclusion strengthen our organization. We offer various opportunities for professional and personal growth, including training, development programs, and wellness initiatives. Learn more at We are dedicated to providing reasonable accommodations for candidates with disabilities during the recruiting process. More information can be found at this link . The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate based on race, color, religion, sex, national origin, age, veteran status, disability, or any other protected characteristic.
Our premium brand Automotive client is currently recruiting for the following role: UX Researcher Digital Interaction - 27.21/hr (Inside IR35) - Warwickshire/Hybrid potential - 8 Months (potential for yearly renewal) The Role: Our automotive client is seeking a practical and hands-on UX researcher with a passion for testing and digital interaction. You will be actively involved with in-vehicle and prototype testing, working across various fidelity levels including virtual reality, static simulators and functional prototypes. The successful candidate will work within a multidisciplinary design and research team, contributing user insights throughout the design and development cycle. This role is well suited to those who are delivery-focused, agile in approach and able to produce research that informs design decisions efficiently and clearly. Key Responsibilities: - Plan and execute UX testing activities in vehicle and across prototype platforms - Conduct usability testing across digital interfaces using both qualitative and quantitative methods - Collaborate with UX Designers to identify friction points and support improvements to usability and flow - Capture and communicate findings from user studies to internal teams in a concise and practical format - Contribute to the creation of benchmarking insights, user personas and attribute tracking - Maintain relevant testing documentation and participate actively in sprint planning and iteration - Support early concept validation as well as final product assessment Skills and Experience: Essential: - Experience conducting usability studies and user testing - Understanding of core principles of user-centred design and interaction - Ability to identify usability issues and make clear, actionable recommendations - Confident in testing physical, digital and immersive prototypes - Strong communication skills with the ability to present findings effectively - Proactive and collaborative mindset, comfortable working in agile delivery environments - Full UK driving licence Desirable: - Familiarity with automotive UX constraints, including driver attention and distraction principles - Basic understanding of accessibility best practices - Previous exposure to tools such as eye-tracking, user testing platforms or behavioural analytics - Experience working with developers or multidisciplinary design teams - Personal Attributes - Energetic and enthusiastic with a delivery-focused approach - Willingness to learn and adapt as part of a fast-moving team - Comfortable with hands-on testing and quick iteration cycles - Able to take initiative while contributing positively to a team culture - Clear thinker who brings momentum to complex projects - Keen interest in automotive design and digital innovation Additional information: This role is on a contract basis and is Inside IR35. The services advertised by Premea Limited for this vacancy are those of an Employment Business. Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.
Jul 30, 2025
Contractor
Our premium brand Automotive client is currently recruiting for the following role: UX Researcher Digital Interaction - 27.21/hr (Inside IR35) - Warwickshire/Hybrid potential - 8 Months (potential for yearly renewal) The Role: Our automotive client is seeking a practical and hands-on UX researcher with a passion for testing and digital interaction. You will be actively involved with in-vehicle and prototype testing, working across various fidelity levels including virtual reality, static simulators and functional prototypes. The successful candidate will work within a multidisciplinary design and research team, contributing user insights throughout the design and development cycle. This role is well suited to those who are delivery-focused, agile in approach and able to produce research that informs design decisions efficiently and clearly. Key Responsibilities: - Plan and execute UX testing activities in vehicle and across prototype platforms - Conduct usability testing across digital interfaces using both qualitative and quantitative methods - Collaborate with UX Designers to identify friction points and support improvements to usability and flow - Capture and communicate findings from user studies to internal teams in a concise and practical format - Contribute to the creation of benchmarking insights, user personas and attribute tracking - Maintain relevant testing documentation and participate actively in sprint planning and iteration - Support early concept validation as well as final product assessment Skills and Experience: Essential: - Experience conducting usability studies and user testing - Understanding of core principles of user-centred design and interaction - Ability to identify usability issues and make clear, actionable recommendations - Confident in testing physical, digital and immersive prototypes - Strong communication skills with the ability to present findings effectively - Proactive and collaborative mindset, comfortable working in agile delivery environments - Full UK driving licence Desirable: - Familiarity with automotive UX constraints, including driver attention and distraction principles - Basic understanding of accessibility best practices - Previous exposure to tools such as eye-tracking, user testing platforms or behavioural analytics - Experience working with developers or multidisciplinary design teams - Personal Attributes - Energetic and enthusiastic with a delivery-focused approach - Willingness to learn and adapt as part of a fast-moving team - Comfortable with hands-on testing and quick iteration cycles - Able to take initiative while contributing positively to a team culture - Clear thinker who brings momentum to complex projects - Keen interest in automotive design and digital innovation Additional information: This role is on a contract basis and is Inside IR35. The services advertised by Premea Limited for this vacancy are those of an Employment Business. Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors.
.NET C# Developer - FX Options - Pricing - Quant Libraries Contact email: Job ref: C Duration: Permanent Startdate: Negotiable C# Developer - FX Options Trading Technology We are currently seeking a skilled C# Developer to join the FX Options Trading Technology team at a leading global investment bank. This is a front-office role, working closely with traders, quants, and structurers to build cutting-edge trading tools. The team is responsible for developing applications that enable traders to price and construct FX Options trade ideas. The platform supports the exploration and customisation of complex trades, tightly integrated with quantitative pricing libraries. Key Responsibilities Design, develop, and maintain the core platform and APIs supporting trade pricing and construction Work across the full trade lifecycle, from idea generation through execution and processing Integrate with quantitative models and libraries for real-time pricing logic Partner directly with front-office users including traders, quants, and structurers to gather requirements and deliver solutions Required Skills and Experience Strong experience in C# development Proficiency in SQL Proven ability to work with large-scale, complex codebases Experience integrating with or working alongside quantitative libraries or models Solid understanding of FX Options and related pricing mechanics Knowledge of trade construction workflows in a front-office environment Excellent communication skills with the ability to engage with traders and quants to understand their needs If you're interested in applying your technical skills in a fast-paced trading environment, please submit your CV immediately to be considered for this opportunity. By submitting your details you agree to our T&Cs
Jul 29, 2025
Full time
.NET C# Developer - FX Options - Pricing - Quant Libraries Contact email: Job ref: C Duration: Permanent Startdate: Negotiable C# Developer - FX Options Trading Technology We are currently seeking a skilled C# Developer to join the FX Options Trading Technology team at a leading global investment bank. This is a front-office role, working closely with traders, quants, and structurers to build cutting-edge trading tools. The team is responsible for developing applications that enable traders to price and construct FX Options trade ideas. The platform supports the exploration and customisation of complex trades, tightly integrated with quantitative pricing libraries. Key Responsibilities Design, develop, and maintain the core platform and APIs supporting trade pricing and construction Work across the full trade lifecycle, from idea generation through execution and processing Integrate with quantitative models and libraries for real-time pricing logic Partner directly with front-office users including traders, quants, and structurers to gather requirements and deliver solutions Required Skills and Experience Strong experience in C# development Proficiency in SQL Proven ability to work with large-scale, complex codebases Experience integrating with or working alongside quantitative libraries or models Solid understanding of FX Options and related pricing mechanics Knowledge of trade construction workflows in a front-office environment Excellent communication skills with the ability to engage with traders and quants to understand their needs If you're interested in applying your technical skills in a fast-paced trading environment, please submit your CV immediately to be considered for this opportunity. By submitting your details you agree to our T&Cs
Financial Engineer - Derivatives and Structured Products Valuation Location London Business Area Product Ref # Description & Requirements At Bloomberg, we provide trusted valuation, structuring, and risk solutions that empower financial professionals to assess risk accurately and navigate the markets with confidence. Our fully integrated workflow supports derivatives and structured products across multiple asset classes, powered by high-quality data and sophisticated models. Transparency, accuracy, and efficiency are at the core of what we do. What's the role? This role focuses on delivering premium structuring and valuation services to clients. It involves providing models that offer transparent valuation insights. To perform well in this position, a strong understanding of bespoke derivatives term sheets, industry-standard valuation models, and established "street practices" used for security valuation and portfolio risk analysis is important. The ability to select and apply suitable pricing models, coupled with knowledge of model limitations and appropriate adjustments, is crucial in delivering accurate valuations. A discerning eye for assessing the reasonableness of model results is of great value. In this role, interactions with a diverse range of stakeholders are expected, including external clients such as traders, sales teams, risk managers, and institutional investors, as well as internal teams comprising sales specialists, developers, and quants. Strong communication skills are expected to build effective relationships and provide clear explanations of complex concepts. You'll need to have: A Master's degree in a technical or quantitative field (e.g., Mathematics, Physics, Engineering, or Quantitative Finance); a PhD or equivalent experience is a plus. Experience in a front-office, financial engineering, or model validation role, with expertise in derivatives and structured products, including pricing, valuation, and risk management. Strong quantitative and analytical skills, with a deep understanding of market conventions, derivative structures, and risk practices. Excellent communication and collaboration skills, with the ability to explain complex financial concepts in a fast-paced, cross-functional environment. We'd love to see: Experience with Bloomberg and other pricing platforms, along with knowledge of Python, or C++. Familiarity with FX or Credit asset classes; while Interest Rates, Inflation, Equities, or other asset classes are also welcome. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Jul 28, 2025
Full time
Financial Engineer - Derivatives and Structured Products Valuation Location London Business Area Product Ref # Description & Requirements At Bloomberg, we provide trusted valuation, structuring, and risk solutions that empower financial professionals to assess risk accurately and navigate the markets with confidence. Our fully integrated workflow supports derivatives and structured products across multiple asset classes, powered by high-quality data and sophisticated models. Transparency, accuracy, and efficiency are at the core of what we do. What's the role? This role focuses on delivering premium structuring and valuation services to clients. It involves providing models that offer transparent valuation insights. To perform well in this position, a strong understanding of bespoke derivatives term sheets, industry-standard valuation models, and established "street practices" used for security valuation and portfolio risk analysis is important. The ability to select and apply suitable pricing models, coupled with knowledge of model limitations and appropriate adjustments, is crucial in delivering accurate valuations. A discerning eye for assessing the reasonableness of model results is of great value. In this role, interactions with a diverse range of stakeholders are expected, including external clients such as traders, sales teams, risk managers, and institutional investors, as well as internal teams comprising sales specialists, developers, and quants. Strong communication skills are expected to build effective relationships and provide clear explanations of complex concepts. You'll need to have: A Master's degree in a technical or quantitative field (e.g., Mathematics, Physics, Engineering, or Quantitative Finance); a PhD or equivalent experience is a plus. Experience in a front-office, financial engineering, or model validation role, with expertise in derivatives and structured products, including pricing, valuation, and risk management. Strong quantitative and analytical skills, with a deep understanding of market conventions, derivative structures, and risk practices. Excellent communication and collaboration skills, with the ability to explain complex financial concepts in a fast-paced, cross-functional environment. We'd love to see: Experience with Bloomberg and other pricing platforms, along with knowledge of Python, or C++. Familiarity with FX or Credit asset classes; while Interest Rates, Inflation, Equities, or other asset classes are also welcome. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose - Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department, based in Bangkok, oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity Please note - The role will be based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. Work with developers and a variety of business owners to deliver daily results with the best quality. Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as well as play a key role in a team. Good communication and interpersonal skills for working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce and/or OTA. We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. # Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Apply Now
Jul 28, 2025
Full time
About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose - Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department, based in Bangkok, oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity Please note - The role will be based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. Work with developers and a variety of business owners to deliver daily results with the best quality. Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as well as play a key role in a team. Good communication and interpersonal skills for working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce and/or OTA. We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. # Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Apply Now
Senior Software Engineer Department: Engineering Employment Type: Full Time Location: London, UK Description We currently have an opportunity for an experienced Developer to join this fast developing area of our business. This role will be joining a small, dynamic team developing a cutting-edge in-play football modelling and trading platform. We are building systems that process real-time match and market data to execute automated trading strategies with millisecond latency - think high-frequency financial trading meets sports analytics. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success. Key Responsibilities Design, develop, and optimize BigQuery-based solutions for real-time, low-latency data processing Implement and maintain API integrations with multiple trading platforms Enhance and refactor existing model and trading strategy implementations for improved performance Design and implement BigQuery schemas for both real-time data processing pipelines and analytical reporting Monitor and optimize system performance to maintain millisecond-level latency targets Collaborate closely with quantitative analysts to translate trading strategies into production code Maintain and improve our GCP-based infrastructure and deployment pipelines Skills, Knowledge and Expertise BigQuery Expertise : Solid understanding of BigQuery architecture and optimization techniques. Postgres : Familiarity with Postgres and/or other traditional RDBMS. Programming Proficiency : Strong skills in Python and Java, with working knowledge of R Cloud & Infrastructure : Hands-on experience with Google Cloud Platform (GCP) and Docker containerization API Development : Experience building and integrating with RESTful APIs, particularly for real-time applications Low-Latency Systems : Understanding of performance optimization techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event-driven systems Data Engineering : Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads Version Control & CI/CD : Proficiency with Git and modern deployment practices Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in everyday and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.
Jul 27, 2025
Full time
Senior Software Engineer Department: Engineering Employment Type: Full Time Location: London, UK Description We currently have an opportunity for an experienced Developer to join this fast developing area of our business. This role will be joining a small, dynamic team developing a cutting-edge in-play football modelling and trading platform. We are building systems that process real-time match and market data to execute automated trading strategies with millisecond latency - think high-frequency financial trading meets sports analytics. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success. Key Responsibilities Design, develop, and optimize BigQuery-based solutions for real-time, low-latency data processing Implement and maintain API integrations with multiple trading platforms Enhance and refactor existing model and trading strategy implementations for improved performance Design and implement BigQuery schemas for both real-time data processing pipelines and analytical reporting Monitor and optimize system performance to maintain millisecond-level latency targets Collaborate closely with quantitative analysts to translate trading strategies into production code Maintain and improve our GCP-based infrastructure and deployment pipelines Skills, Knowledge and Expertise BigQuery Expertise : Solid understanding of BigQuery architecture and optimization techniques. Postgres : Familiarity with Postgres and/or other traditional RDBMS. Programming Proficiency : Strong skills in Python and Java, with working knowledge of R Cloud & Infrastructure : Hands-on experience with Google Cloud Platform (GCP) and Docker containerization API Development : Experience building and integrating with RESTful APIs, particularly for real-time applications Low-Latency Systems : Understanding of performance optimization techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event-driven systems Data Engineering : Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads Version Control & CI/CD : Proficiency with Git and modern deployment practices Benefits Salary depending on experience. Annual discretionary performance bonus. 25 days holiday per annum, plus UK bank holidays. Private health & dental insurance. Optical cover through Aviva. Pension plan. Gympass membership to over 1900 gyms and wellness businesses. Breakfast bought in everyday and lunch bought in twice a week Free coffee & snacks at the office. Regular team events & socials.
Social network you want to login/join with: Junior FX Quantitative Developer, London col-narrow-left Client: Euronext Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 6e6ac765d58a Job Views: 16 Posted: 24.07.2025 col-wide Job Description: Job Profile Euronext FX is an Electronic Communication Network for foreign exchange trading. Euronext FX strives to offer its customers access to large pools of diversified liquidity at unparalleled speed with complete transparency in the optimal location. Its award-winning technology (FastMatch) gives Euronext FX an important speed advantage and has the capability of handling thousands of clients simultaneously. Clients include retail brokers, institutions, banks, hedge funds, and proprietary trading firms. Euronext FX is a company of Euronext, the leading pan-European exchange in the Eurozone. We are looking for a highly skilled Junior Quantitative Developer to join our expanding Quantitative team at Euronext FX. As part of this role, you will be sitting next to the Liquidity Management (LM) team and will work alongside senior quants and developers to work on automation projects and further refine our clients' trading experience. Doing so, you will strongly support our research efforts by developing robust tools, improving the existing ones, and assist in the development of innovative quantitative solutions The ideal candidate will have strong development skills, with proven track records of successfully delivering complex software development projects. They will also have advanced knowledge of statistical techniques for facilitating the delivery of the robust quantitative analysis they will work on, and assisting in the enhancement of the monitoring and enrichment of the ECN platform's performances, and in the elevation of the client's overall experience. At Euronext FX, you'll be part of a dynamic, collaborative team that thrives on innovation and empowers you to make an immediate impact. If you're eager to leverage your coding mastery and quantitative acumen to shape the future of FX trading, we want to hear from you. Apply to accelerate your career as a Junior Quantitative Developer with Euronext FX! Key Accountabilities Develop a wide range of automation tools to reduce manual intervention, with clearly written and documented code to ensure the efficiency, the accuracy and the flexibility of the products in the very dynamic FX market environment Continuously work with the team to optimise the performances and the accuracy of the models, by always challenging the input and output data, and by processing the constant feedback from the LM team and our clients Communicate research and development findings, share ideas with the team to foster innovation, identify opportunities for new ECN features and contribute to the ongoing enhancement of our analytics libraries Participate in the research on market microstructure, liquidity dynamics, and other factors influencing order flow and execution quality in electronic markets, leveraging both historical data and real-time market information Stay abreast of industry developments, regulatory changes, and technological advancements in electronic trading and quantitative research, and incorporate relevant insights into our research processes Increase your FX market knowledge and stay aware of the global market trends to get a better understanding of our clients' needs and help providing them with the best quantitative solutions to suit their needs Ensure constant compliance with governance and regulation, adhering to internal standards and regulatory requirements Knowledge, Skills and Experience Required Experience Recently graduated or up to 2 years of experience in a similar role Education Advanced degree (Masters preferred) in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering or closely related field A focus on financial markets and electronic trading is a plus Skills Strong proficiency in Python - writing clean, efficient and production-grade code - and experience with large datasets (SQL/no-SQL, kdb+) Knowledge of version control and CI/CD, and real appreciation for writing high quality and documented code Extensive knowledge of quantitative research methodologies, including probabilities, statistical modeling and time-series analysis. Experience in machine learning is a plus. Effective interpersonal and communication skills, with the ability to convey complex concepts to both technical and non-technical audiences Exceptional analytical and problem-solving abilities, with a keen attention to detail and a commitment to delivering high-quality results Demonstrate a strong interest for FX and financial markets in the context of electronic trading Basic understanding of market microstructure, order flow dynamics, and execution quality metrics in electronic trading environments is a plus Values Unity We respect and value the people we work with We are unified through a common purpose We embrace diversity and strive for inclusion Integrity We value transparency, communicate honestly and share information openly We act with integrity in everything we do We don't hide our mistakes, and we learn from them Agility We act with a sense of urgency and decisiveness We are adaptable, responsive and embrace change We take smart risks Energy We are positively driven to make a difference and challenge the status quo We focus on and encourage personal leadership We motivate each other with our ambition Accountability We deliver maximum value to our customers and stakeholders We take ownership and are accountable for the outcome We reward and celebrate performance We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect. Euronext Values Unity • We respect and value the people we work with • We are unified through a common purpose • We embrace diversity and strive for inclusion Integrity • We value transparency, communicate honestly and share information openly • We act with integrity in everything we do • We don't hide our mistakes, and we learn from them Agility • We act with a sense of urgency and decisiveness • We are adaptable, responsive and embrace change • We take smart risks Energy • We are positively driven to make a difference and challenge the status quo • We focus on and encourage personal leadership • We motivate each other with our ambition Accountability • We deliver maximum value to our customers and stakeholders • We take ownership and are accountable for the outcome • We reward and celebrate performance We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect. Additional Information This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.
Jul 26, 2025
Full time
Social network you want to login/join with: Junior FX Quantitative Developer, London col-narrow-left Client: Euronext Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 6e6ac765d58a Job Views: 16 Posted: 24.07.2025 col-wide Job Description: Job Profile Euronext FX is an Electronic Communication Network for foreign exchange trading. Euronext FX strives to offer its customers access to large pools of diversified liquidity at unparalleled speed with complete transparency in the optimal location. Its award-winning technology (FastMatch) gives Euronext FX an important speed advantage and has the capability of handling thousands of clients simultaneously. Clients include retail brokers, institutions, banks, hedge funds, and proprietary trading firms. Euronext FX is a company of Euronext, the leading pan-European exchange in the Eurozone. We are looking for a highly skilled Junior Quantitative Developer to join our expanding Quantitative team at Euronext FX. As part of this role, you will be sitting next to the Liquidity Management (LM) team and will work alongside senior quants and developers to work on automation projects and further refine our clients' trading experience. Doing so, you will strongly support our research efforts by developing robust tools, improving the existing ones, and assist in the development of innovative quantitative solutions The ideal candidate will have strong development skills, with proven track records of successfully delivering complex software development projects. They will also have advanced knowledge of statistical techniques for facilitating the delivery of the robust quantitative analysis they will work on, and assisting in the enhancement of the monitoring and enrichment of the ECN platform's performances, and in the elevation of the client's overall experience. At Euronext FX, you'll be part of a dynamic, collaborative team that thrives on innovation and empowers you to make an immediate impact. If you're eager to leverage your coding mastery and quantitative acumen to shape the future of FX trading, we want to hear from you. Apply to accelerate your career as a Junior Quantitative Developer with Euronext FX! Key Accountabilities Develop a wide range of automation tools to reduce manual intervention, with clearly written and documented code to ensure the efficiency, the accuracy and the flexibility of the products in the very dynamic FX market environment Continuously work with the team to optimise the performances and the accuracy of the models, by always challenging the input and output data, and by processing the constant feedback from the LM team and our clients Communicate research and development findings, share ideas with the team to foster innovation, identify opportunities for new ECN features and contribute to the ongoing enhancement of our analytics libraries Participate in the research on market microstructure, liquidity dynamics, and other factors influencing order flow and execution quality in electronic markets, leveraging both historical data and real-time market information Stay abreast of industry developments, regulatory changes, and technological advancements in electronic trading and quantitative research, and incorporate relevant insights into our research processes Increase your FX market knowledge and stay aware of the global market trends to get a better understanding of our clients' needs and help providing them with the best quantitative solutions to suit their needs Ensure constant compliance with governance and regulation, adhering to internal standards and regulatory requirements Knowledge, Skills and Experience Required Experience Recently graduated or up to 2 years of experience in a similar role Education Advanced degree (Masters preferred) in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering or closely related field A focus on financial markets and electronic trading is a plus Skills Strong proficiency in Python - writing clean, efficient and production-grade code - and experience with large datasets (SQL/no-SQL, kdb+) Knowledge of version control and CI/CD, and real appreciation for writing high quality and documented code Extensive knowledge of quantitative research methodologies, including probabilities, statistical modeling and time-series analysis. Experience in machine learning is a plus. Effective interpersonal and communication skills, with the ability to convey complex concepts to both technical and non-technical audiences Exceptional analytical and problem-solving abilities, with a keen attention to detail and a commitment to delivering high-quality results Demonstrate a strong interest for FX and financial markets in the context of electronic trading Basic understanding of market microstructure, order flow dynamics, and execution quality metrics in electronic trading environments is a plus Values Unity We respect and value the people we work with We are unified through a common purpose We embrace diversity and strive for inclusion Integrity We value transparency, communicate honestly and share information openly We act with integrity in everything we do We don't hide our mistakes, and we learn from them Agility We act with a sense of urgency and decisiveness We are adaptable, responsive and embrace change We take smart risks Energy We are positively driven to make a difference and challenge the status quo We focus on and encourage personal leadership We motivate each other with our ambition Accountability We deliver maximum value to our customers and stakeholders We take ownership and are accountable for the outcome We reward and celebrate performance We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect. Euronext Values Unity • We respect and value the people we work with • We are unified through a common purpose • We embrace diversity and strive for inclusion Integrity • We value transparency, communicate honestly and share information openly • We act with integrity in everything we do • We don't hide our mistakes, and we learn from them Agility • We act with a sense of urgency and decisiveness • We are adaptable, responsive and embrace change • We take smart risks Energy • We are positively driven to make a difference and challenge the status quo • We focus on and encourage personal leadership • We motivate each other with our ambition Accountability • We deliver maximum value to our customers and stakeholders • We take ownership and are accountable for the outcome • We reward and celebrate performance We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect. Additional Information This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.
Job Role: Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level: Consultant 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 with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI Science is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and 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: Be 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. Be working with famous brands and household names - no worrying about how to explain what you do to your family again! Develop your skills with our world class training programmes. Drive and implement real world solutions into production that drive business value to our clients. Work alongside global teams to collaborate and deliver the best solutions for our clients. Drive your career progression via our structured career development programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: 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 machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, 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 eg. AWS, GCP or Azure. Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field Set yourself apart: Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation Ability to successfully build relationships with clients and stakeholders 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! ACNDataAI ACNConsultX 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 Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, colour, 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 applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Jul 25, 2025
Full time
Job Role: Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level: Consultant 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 with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI Science is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and 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: Be 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. Be working with famous brands and household names - no worrying about how to explain what you do to your family again! Develop your skills with our world class training programmes. Drive and implement real world solutions into production that drive business value to our clients. Work alongside global teams to collaborate and deliver the best solutions for our clients. Drive your career progression via our structured career development programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: 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 machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, 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 eg. AWS, GCP or Azure. Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field Set yourself apart: Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation Ability to successfully build relationships with clients and stakeholders 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! ACNDataAI ACNConsultX 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 Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, colour, 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 applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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. As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and 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. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. 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 We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. 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 eg. AWS, GCP or Azure Specialised visualisation techniques eg. 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. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, colour, 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 applicable law.
Jul 25, 2025
Full time
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. As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and 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. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. 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 We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. 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 eg. AWS, GCP or Azure Specialised visualisation techniques eg. 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. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, colour, 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 applicable law.
Our OEM Client based in Gaydon, is searching for a Junior UX Researcher Digital Interaction to join their team, Inside IR35. This is a contract position until 31st March 2026. Umbrella Pay Rate: £27.03 per hour. We are seeking practical and hands-on UX researcher with a passion for testing and digital interaction. You will be actively involved with in-vehicle and prototype testing, working across various fidelity levels including virtual reality, static simulators and functional prototypes. The successful candidate will work within a multidisciplinary design and research team, contributing user insights throughout the design and development cycle. This role is well suited to those who are delivery-focused, agile in approach and able to produce research that informs design decisions efficiently and clearly. Key Responsibilities: Plan and execute UX testing activities in vehicle and across prototype platforms. Conduct usability testing across digital interfaces using both qualitative and quantitative methods. Collaborate with UX Designers to identify friction points and support improvements to usability and flow. Capture and communicate findings from user studies to internal teams in a concise and practical format. Contribute to the creation of benchmarking insights, user personas and attribute tracking. Maintain relevant testing documentation and participate actively in sprint planning and iteration. Support early concept validation as well as final product assessment. Essential Skills and Experience Required: Experience conducting usability studies and user testing. Understanding of core principles of user-centred design and interaction. Ability to identify usability issues and make clear, actionable recommendations. Confident in testing physical, digital and immersive prototypes. Strong communication skills with the ability to present findings effectively. Proactive and collaborative mindset, comfortable working in agile delivery environments. Full UK driving licence. Desirable Skills and Experience Requested: Familiarity with automotive UX constraints, including driver attention and distraction principles. Basic understanding of accessibility best practices. Previous exposure to tools such as eye-tracking, user testing platforms or behavioural analytics. Experience working with developers or multidisciplinary design teams. Personal Attributes Requested: Energetic and enthusiastic with a delivery-focused approach. Willingness to learn and adapt as part of a fast-moving team. Comfortable with hands-on testing and quick iteration cycles. Able to take initiative while contributing positively to a team culture. Clear thinker who brings momentum to complex projects. Keen interest in automotive design and digital innovation.
Jul 24, 2025
Contractor
Our OEM Client based in Gaydon, is searching for a Junior UX Researcher Digital Interaction to join their team, Inside IR35. This is a contract position until 31st March 2026. Umbrella Pay Rate: £27.03 per hour. We are seeking practical and hands-on UX researcher with a passion for testing and digital interaction. You will be actively involved with in-vehicle and prototype testing, working across various fidelity levels including virtual reality, static simulators and functional prototypes. The successful candidate will work within a multidisciplinary design and research team, contributing user insights throughout the design and development cycle. This role is well suited to those who are delivery-focused, agile in approach and able to produce research that informs design decisions efficiently and clearly. Key Responsibilities: Plan and execute UX testing activities in vehicle and across prototype platforms. Conduct usability testing across digital interfaces using both qualitative and quantitative methods. Collaborate with UX Designers to identify friction points and support improvements to usability and flow. Capture and communicate findings from user studies to internal teams in a concise and practical format. Contribute to the creation of benchmarking insights, user personas and attribute tracking. Maintain relevant testing documentation and participate actively in sprint planning and iteration. Support early concept validation as well as final product assessment. Essential Skills and Experience Required: Experience conducting usability studies and user testing. Understanding of core principles of user-centred design and interaction. Ability to identify usability issues and make clear, actionable recommendations. Confident in testing physical, digital and immersive prototypes. Strong communication skills with the ability to present findings effectively. Proactive and collaborative mindset, comfortable working in agile delivery environments. Full UK driving licence. Desirable Skills and Experience Requested: Familiarity with automotive UX constraints, including driver attention and distraction principles. Basic understanding of accessibility best practices. Previous exposure to tools such as eye-tracking, user testing platforms or behavioural analytics. Experience working with developers or multidisciplinary design teams. Personal Attributes Requested: Energetic and enthusiastic with a delivery-focused approach. Willingness to learn and adapt as part of a fast-moving team. Comfortable with hands-on testing and quick iteration cycles. Able to take initiative while contributing positively to a team culture. Clear thinker who brings momentum to complex projects. Keen interest in automotive design and digital innovation.
Our client has a new permanent full-time opportunity for an Income Systematic Researcher/Developer. This role focuses on researching and developing systematic trading strategies within income-generating asset classes. The successful candidate will analyse large datasets, design quantitative models, and implement trading strategies to optimise risk-adjusted returns. Job Duties: Conduct research to identify and develop systematic income-focused trading strategies Analyse large financial datasets to uncover predictive signals and investment opportunities Design, implement, and test quantitative models using statistical and machine learning techniques Develop and optimise execution algorithms to enhance trade performance Collaborate with portfolio managers, traders, and other researchers to refine investment strategies Maintain and improve research infrastructure, including data pipelines and backtesting frameworks Monitor model performance and adapt strategies to changing market conditions Job Requirements: Strong quantitative and analytical skills, with experience in systematic research or trading Proficiency in programming languages such as Python, R, or C++ Experience working with large datasets and statistical modelling techniques Knowledge of financial markets, fixed income instruments, and portfolio construction Ability to develop, test, and implement systematic trading models Strong problem-solving skills and the ability to work in a fast-paced environment What You'll Love: This is an excellent opportunity to work in an innovative environment where cutting-edge research and technology drive investment decisions. Our client offers a collaborative culture, access to advanced data resources, and the opportunity to develop impactful systematic strategies. Interested? Register today, confidentially, with one of our friendly and dedicated recruitment specialists by clicking here
Jul 24, 2025
Full time
Our client has a new permanent full-time opportunity for an Income Systematic Researcher/Developer. This role focuses on researching and developing systematic trading strategies within income-generating asset classes. The successful candidate will analyse large datasets, design quantitative models, and implement trading strategies to optimise risk-adjusted returns. Job Duties: Conduct research to identify and develop systematic income-focused trading strategies Analyse large financial datasets to uncover predictive signals and investment opportunities Design, implement, and test quantitative models using statistical and machine learning techniques Develop and optimise execution algorithms to enhance trade performance Collaborate with portfolio managers, traders, and other researchers to refine investment strategies Maintain and improve research infrastructure, including data pipelines and backtesting frameworks Monitor model performance and adapt strategies to changing market conditions Job Requirements: Strong quantitative and analytical skills, with experience in systematic research or trading Proficiency in programming languages such as Python, R, or C++ Experience working with large datasets and statistical modelling techniques Knowledge of financial markets, fixed income instruments, and portfolio construction Ability to develop, test, and implement systematic trading models Strong problem-solving skills and the ability to work in a fast-paced environment What You'll Love: This is an excellent opportunity to work in an innovative environment where cutting-edge research and technology drive investment decisions. Our client offers a collaborative culture, access to advanced data resources, and the opportunity to develop impactful systematic strategies. Interested? Register today, confidentially, with one of our friendly and dedicated recruitment specialists by clicking here
Delivery Consultant - Data & Analytics, AWS Professional Services Job ID: AWS EMEA SARL (UK Branch) Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive data and the consultative and leadership skills to launch a project on a trajectory to success? Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution. Candidates will have a balance of technical and consulting skills and experience, enabling them to work with business as well as IT leaders, software developers and architects to shape Professional Services engagements. You will be passionate about leveraging the richness of the computing platform to position and deliver the right technology solutions and address changing industry needs. You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications with . You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves, and guide customers deconstruct ambiguity. Responsibilities include: - Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale. - Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations - Delivery - Engagements will include onsite projects proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations. - Insights - Work with engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world challenges and recommend new capabilities that would simplify adoption and drive greater value from the use of AWS services. Experience, or a desire to work in the UK public sector - Push the envelope - computing is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through database innovation, big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation - Experience with integration of cloud services with on-premise technologies from microsoft, ibm, oracle, hp, sap - Experience developing software code in one or more programming languages (java, python, etc.) - Relevant experience in building large scale machine learning or deep learning models and Generative AI model development - Eligibility for the UK Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 24, 2025
Full time
Delivery Consultant - Data & Analytics, AWS Professional Services Job ID: AWS EMEA SARL (UK Branch) Do you like helping customers implement innovative solutions and solve technical and business challenges using the latest cloud computing and AI technologies? Do you have experience implementing systems that handle sensitive data and the consultative and leadership skills to launch a project on a trajectory to success? Are you familiar with security best practices and compliance standards for AI applications? Do you want to be part of the team helping to establish Amazon Web Services as a leading technology AI platform? Would you like to be part of a team that genuinely focuses on understanding what's best for the customer and also be valued within as a technical expert? Amazon Web Services is looking for a skilled and motivated Professional Services Data Scientist to help accelerate our growing Data and AI business in the UK and work with our public sector customers. We need passionate, experienced consultants to help our citizens and the community benefit from the AI revolution. Candidates will have a balance of technical and consulting skills and experience, enabling them to work with business as well as IT leaders, software developers and architects to shape Professional Services engagements. You will be passionate about leveraging the richness of the computing platform to position and deliver the right technology solutions and address changing industry needs. You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications with . You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves, and guide customers deconstruct ambiguity. Responsibilities include: - Expertise - Collaborate with field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Bedrock, Sagemaker, and other data services. Experience in architecture, software design and operations in hybrid environments as well as complex projects at scale. - Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations - Delivery - Engagements will include onsite projects proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations. - Insights - Work with engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world challenges and recommend new capabilities that would simplify adoption and drive greater value from the use of AWS services. Experience, or a desire to work in the UK public sector - Push the envelope - computing is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through database innovation, big data and business intelligence. Demonstrated ability to think strategically about business, product, and technical challenges About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation - Experience with integration of cloud services with on-premise technologies from microsoft, ibm, oracle, hp, sap - Experience developing software code in one or more programming languages (java, python, etc.) - Relevant experience in building large scale machine learning or deep learning models and Generative AI model development - Eligibility for the UK Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
About Caxton: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in London, New York, Monaco , Singapore and Dubai. Caxton Associates' primary business is to manage client and proprietary capital through global macro hedge fund strategies. Assets are managed via a broad mandate to trade in a variety of global markets and instruments. About the Role: Caxton seeks a Quantitative Developer to join the firm's Quantitative Development & Data team (QDD). QDD is responsible for architecture and development of libraries, web services, dashboards, and databases that facilitate Portfolio Managers' alpha generation, strategy deployment, and risk management. The team has presence in both London and New York. They work closely with the Quantitative Analytics Group as well as Trading Staff. Responsibilities: Engineer large timeseries and data solutions and ETLs (using SQL, no-SQL, C#, and Python) for market data, quant analytics and alpha generation Build and maintain quant libraries in Python. Architect and build scalable web services for applications and front office users Promote best coding practices within the firm Build front end tools for market monitoring, trade screening and risk management. Front end tools can be either web dashboards or Excel tools backed by robust libraries or web services. 7+ years of relevant experience Bachelor's degree in a quantitative degree (Computer Science, Maths, engineering) Excellent quantitative reasoning and software design. Strong Python skills. Demonstrated experience with high-efficiency programming and multi-threading. Clear grasp of SQL and relational database fundamentals. Ability to multitask and produce high quality code. Strong verbal and written communication skills. Operates with the highest degree of ethics and integrity. Nice to have: Knowledge of financial instruments & data: FX, Futures, Interest Rates derivatives, Options Proficiency in another programming language such as C#, Java or C++ Web development skills Experience with AWS
Jul 24, 2025
Full time
About Caxton: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in London, New York, Monaco , Singapore and Dubai. Caxton Associates' primary business is to manage client and proprietary capital through global macro hedge fund strategies. Assets are managed via a broad mandate to trade in a variety of global markets and instruments. About the Role: Caxton seeks a Quantitative Developer to join the firm's Quantitative Development & Data team (QDD). QDD is responsible for architecture and development of libraries, web services, dashboards, and databases that facilitate Portfolio Managers' alpha generation, strategy deployment, and risk management. The team has presence in both London and New York. They work closely with the Quantitative Analytics Group as well as Trading Staff. Responsibilities: Engineer large timeseries and data solutions and ETLs (using SQL, no-SQL, C#, and Python) for market data, quant analytics and alpha generation Build and maintain quant libraries in Python. Architect and build scalable web services for applications and front office users Promote best coding practices within the firm Build front end tools for market monitoring, trade screening and risk management. Front end tools can be either web dashboards or Excel tools backed by robust libraries or web services. 7+ years of relevant experience Bachelor's degree in a quantitative degree (Computer Science, Maths, engineering) Excellent quantitative reasoning and software design. Strong Python skills. Demonstrated experience with high-efficiency programming and multi-threading. Clear grasp of SQL and relational database fundamentals. Ability to multitask and produce high quality code. Strong verbal and written communication skills. Operates with the highest degree of ethics and integrity. Nice to have: Knowledge of financial instruments & data: FX, Futures, Interest Rates derivatives, Options Proficiency in another programming language such as C#, Java or C++ Web development skills Experience with AWS
Quantitative Developer (New HFT Desk) Location: London Company Overview: Tier 1 HFT (not Tower) running a high upside pod model for new desks. Job Summary: Join a 1-4 person team as the Quant Dev to get new HFT strategies off the ground and frankly do whatever is necessary to make the team successful. You will wear multiple hats. It will not be perfect. You will learn a TON, and there's a lot of financial upside for you. Responsibilities: Get new HFT team live and profitable You're THE Quant Dev - do whatever needs to get done to be successful Qualifications: Proven experience in quantitative/developer role or internships Strong programming skills - Python, and ideally C++ Understand how to hack your way through multi-faceted problems quickly Courageous in the face of challenges, and ready for constant innovation What We Offer: Mentorship from industry veterans with billions in Pnl under their belt High upside opportunity - if your team succeeds, you will earn significantly more than a typical tier 1 Quant Dev role Opportunity to build HFT team from scratch Collaborative culture Get in touch if you're looking for a challenge!
Jul 24, 2025
Full time
Quantitative Developer (New HFT Desk) Location: London Company Overview: Tier 1 HFT (not Tower) running a high upside pod model for new desks. Job Summary: Join a 1-4 person team as the Quant Dev to get new HFT strategies off the ground and frankly do whatever is necessary to make the team successful. You will wear multiple hats. It will not be perfect. You will learn a TON, and there's a lot of financial upside for you. Responsibilities: Get new HFT team live and profitable You're THE Quant Dev - do whatever needs to get done to be successful Qualifications: Proven experience in quantitative/developer role or internships Strong programming skills - Python, and ideally C++ Understand how to hack your way through multi-faceted problems quickly Courageous in the face of challenges, and ready for constant innovation What We Offer: Mentorship from industry veterans with billions in Pnl under their belt High upside opportunity - if your team succeeds, you will earn significantly more than a typical tier 1 Quant Dev role Opportunity to build HFT team from scratch Collaborative culture Get in touch if you're looking for a challenge!
Please note this is for London, UK. You only need toapply to one location if there are multiple listed for the job. Apply Now At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are looking for a Senior Software Engineer passionate about solving ambitious problems and working directly with Ripple Trading and Markets in the cross-border payments space. We are passionate about the growth of our engineers and place a premium on career development. You will have a high degree of accountability and responsibility from Day 1. You will be an integral part of the Ripple Trading and Markets Team, building scalable, resilient and performant trading systems in a constantly evolving and fast paced environment. You will have real impact and have the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. By the end of 2025 where we want to be Further evolution of the Algo suite, refining the signal processing and breadth of trading strategies and products. Building towards an event-driven architecture to connect the logical building blocks and provide integrated communication between trading systems and to other partners. Continuing to support and complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Research, design, and backtest systematic trading strategies and alpha signals across multiple asset classes, ensuring statistical rigor. Develop and optimize execution algorithms (e.g., VWAP, TWAP, Participation) and Smart Order Routing (SOR) logic to minimize market impact. Contribute to the evolution of trading infrastructure, including Execution and Order Management Systems (EMS/OMS), and maintain high-performance codebases. Monitor real-time system performance, execution quality, P&L, and risk, proactively addressing issues and making strategy adjustments. Perform post-trade analytics, including TCA, to continuously improve trading efficiency and execution outcomes. Manage the full lifecycle of trading systems-from data acquisition and cleaning to deployment and production support. Collaborate with researchers, engineers, and stakeholders across the business to align technical design with trading objectives. Drive engineering excellence through clean code, automated testing, operational rigor, and mentorship of junior team members. WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of agile software development, automated testing, and secure, scalable architecture design. Exposure to FX and/or crypto markets; front-end experience with frameworks like React is a plus. Passion for clean, testable code, continuous learning, and mentoring peers on engineering best practices. Degree in Computer Science or related field, with a strong focus on problem-solving and simplicity in design. Other common names for this role: Quant Developer, Algo Developer WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Jul 24, 2025
Full time
Please note this is for London, UK. You only need toapply to one location if there are multiple listed for the job. Apply Now At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are looking for a Senior Software Engineer passionate about solving ambitious problems and working directly with Ripple Trading and Markets in the cross-border payments space. We are passionate about the growth of our engineers and place a premium on career development. You will have a high degree of accountability and responsibility from Day 1. You will be an integral part of the Ripple Trading and Markets Team, building scalable, resilient and performant trading systems in a constantly evolving and fast paced environment. You will have real impact and have the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. By the end of 2025 where we want to be Further evolution of the Algo suite, refining the signal processing and breadth of trading strategies and products. Building towards an event-driven architecture to connect the logical building blocks and provide integrated communication between trading systems and to other partners. Continuing to support and complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Research, design, and backtest systematic trading strategies and alpha signals across multiple asset classes, ensuring statistical rigor. Develop and optimize execution algorithms (e.g., VWAP, TWAP, Participation) and Smart Order Routing (SOR) logic to minimize market impact. Contribute to the evolution of trading infrastructure, including Execution and Order Management Systems (EMS/OMS), and maintain high-performance codebases. Monitor real-time system performance, execution quality, P&L, and risk, proactively addressing issues and making strategy adjustments. Perform post-trade analytics, including TCA, to continuously improve trading efficiency and execution outcomes. Manage the full lifecycle of trading systems-from data acquisition and cleaning to deployment and production support. Collaborate with researchers, engineers, and stakeholders across the business to align technical design with trading objectives. Drive engineering excellence through clean code, automated testing, operational rigor, and mentorship of junior team members. WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of agile software development, automated testing, and secure, scalable architecture design. Exposure to FX and/or crypto markets; front-end experience with frameworks like React is a plus. Passion for clean, testable code, continuous learning, and mentoring peers on engineering best practices. Degree in Computer Science or related field, with a strong focus on problem-solving and simplicity in design. Other common names for this role: Quant Developer, Algo Developer WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Founded in 2013, GSR is a leading market-making and programmatic trading company in the fast-evolving world of cryptocurrency trading. With more than 200 employees in 5 countries, we provide billions of dollars of liquidity to cryptocurrency protocols and exchanges daily. We build long-term relationships with cryptocurrency communities and traditional investors by offering exceptional service, expertise, and trading capabilities tailored to their specific needs. GSR works with token issuers, traders, investors, miners, and over 30 cryptocurrency exchanges worldwide. In volatile markets, we are a trusted partner to crypto-native builders and those exploring the industry for the first time. Our team of veteran finance and technology executives from Goldman Sachs, Two Sigma, and Citadel, among others, has developed one of the world's most robust trading platforms designed to navigate issues unique to the digital asset markets. We have continuously improved our technology, allowing our clients to scale and execute their strategies with the highest level of efficiency. Working at GSR offers the opportunity to be deeply embedded in every major sector of the cryptocurrency ecosystem. About the Role Deliver high-performance trading systems in Rust that directly drive strategy execution and profitability. Enable traders and researchers to operate at scale by building robust infrastructure, analytics tools, and automation. Shape the architecture behind live trading, reduce latency, and solve complex real-time challenges in collaboration with a high-calibre, cross-functional team. Responsibilities: Design, develop, and maintain a low-latency trading system in Rust. Collaborate with traders, engineers, and quants to design and implement trading strategies within market-making, prop, and OTC. Build new tools/infrastructure to facilitate research; e.g., analytics and optimization. Automate the deployment and monitoring of trading strategies. Troubleshoot and resolve technical issues in real-time. Your Profile: Minimum of one year experience developing in Rust; will be tested. Familiarity with core trading strategies (e.g., market-making, arbitrage, execution). Strong understanding of algorithms and data structures, as well as quant finance concepts: limit-order books, market microstructure, pricing. Experience with real-time data processing, IPC/shared-memory architectures, and low-allocation/zero-copy design. A Bachelor's degree (minimum) or PhD (preferred) in Computer Science, Mathematics, Physics, or a related field. Prior experience in high-frequency trading, market-making, or other electronic trading environments is a strong advantage but not required. What We Offer: A collaborative and transparent company culture founded on Integrity, Innovation, and Performance. Competitive Salary with two discretionary bonus payments a year. Benefits such as Healthcare, Dental, Vision, Retirement Planning, 30 days holiday, and free lunches when in the office (benefits vary depending on employment location). Regular Town Halls, team lunches, and drinks. A Corporate and Social Responsibility program as well as charity fundraising matching and volunteer days. GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, color, country of origin, sexual orientation, gender, gender identity, gender expression, or age. We operate a meritocracy; all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role. Learn more about us at . Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select Prior Total Comp Select Notice / Non-Compete? Select What is the total length of time, you will need to serve to clear your current post-termination restrictions? Related industry experience? Crypto Prop Trading Hedge Fund Banking Tech Other Financial Services Other Education Have you worked in any of the following prior to applying to GSR? Experience level, applicable to this role? Select What best describes your current level of proficiency in Rust? Select Which of the following best reflects your experience with trading concepts? Select What best describes your experience working with real-time, low-latency systems? Select Are you based in the UK and do you currently have the right to work in the UK? Select By submitting your application, you confirm that you have read and understood GSR's Privacy Notice for Candidates and consent to the processing of your personal data in accordance with GDPR and applicable data protection laws. Select GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, colour, country of origin, sexual orientation, gender, gender identity, gender expression or age. We operate a meritocracy, all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role. Learn more about us at Your responses will be used (in aggregate only) to help us identifyareas of improvement in our process. Your responseswill notbe associated with your specific application andwill notin any way be used in the hiring decision. Select I identify as transgender: Select I identify my sexual orientation as: Select I identify my ethnicity as (mark all that apply): Select
Jul 24, 2025
Full time
Founded in 2013, GSR is a leading market-making and programmatic trading company in the fast-evolving world of cryptocurrency trading. With more than 200 employees in 5 countries, we provide billions of dollars of liquidity to cryptocurrency protocols and exchanges daily. We build long-term relationships with cryptocurrency communities and traditional investors by offering exceptional service, expertise, and trading capabilities tailored to their specific needs. GSR works with token issuers, traders, investors, miners, and over 30 cryptocurrency exchanges worldwide. In volatile markets, we are a trusted partner to crypto-native builders and those exploring the industry for the first time. Our team of veteran finance and technology executives from Goldman Sachs, Two Sigma, and Citadel, among others, has developed one of the world's most robust trading platforms designed to navigate issues unique to the digital asset markets. We have continuously improved our technology, allowing our clients to scale and execute their strategies with the highest level of efficiency. Working at GSR offers the opportunity to be deeply embedded in every major sector of the cryptocurrency ecosystem. About the Role Deliver high-performance trading systems in Rust that directly drive strategy execution and profitability. Enable traders and researchers to operate at scale by building robust infrastructure, analytics tools, and automation. Shape the architecture behind live trading, reduce latency, and solve complex real-time challenges in collaboration with a high-calibre, cross-functional team. Responsibilities: Design, develop, and maintain a low-latency trading system in Rust. Collaborate with traders, engineers, and quants to design and implement trading strategies within market-making, prop, and OTC. Build new tools/infrastructure to facilitate research; e.g., analytics and optimization. Automate the deployment and monitoring of trading strategies. Troubleshoot and resolve technical issues in real-time. Your Profile: Minimum of one year experience developing in Rust; will be tested. Familiarity with core trading strategies (e.g., market-making, arbitrage, execution). Strong understanding of algorithms and data structures, as well as quant finance concepts: limit-order books, market microstructure, pricing. Experience with real-time data processing, IPC/shared-memory architectures, and low-allocation/zero-copy design. A Bachelor's degree (minimum) or PhD (preferred) in Computer Science, Mathematics, Physics, or a related field. Prior experience in high-frequency trading, market-making, or other electronic trading environments is a strong advantage but not required. What We Offer: A collaborative and transparent company culture founded on Integrity, Innovation, and Performance. Competitive Salary with two discretionary bonus payments a year. Benefits such as Healthcare, Dental, Vision, Retirement Planning, 30 days holiday, and free lunches when in the office (benefits vary depending on employment location). Regular Town Halls, team lunches, and drinks. A Corporate and Social Responsibility program as well as charity fundraising matching and volunteer days. GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, color, country of origin, sexual orientation, gender, gender identity, gender expression, or age. We operate a meritocracy; all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role. Learn more about us at . Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Select Prior Total Comp Select Notice / Non-Compete? Select What is the total length of time, you will need to serve to clear your current post-termination restrictions? Related industry experience? Crypto Prop Trading Hedge Fund Banking Tech Other Financial Services Other Education Have you worked in any of the following prior to applying to GSR? Experience level, applicable to this role? Select What best describes your current level of proficiency in Rust? Select Which of the following best reflects your experience with trading concepts? Select What best describes your experience working with real-time, low-latency systems? Select Are you based in the UK and do you currently have the right to work in the UK? Select By submitting your application, you confirm that you have read and understood GSR's Privacy Notice for Candidates and consent to the processing of your personal data in accordance with GDPR and applicable data protection laws. Select GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, colour, country of origin, sexual orientation, gender, gender identity, gender expression or age. We operate a meritocracy, all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role. Learn more about us at Your responses will be used (in aggregate only) to help us identifyareas of improvement in our process. Your responseswill notbe associated with your specific application andwill notin any way be used in the hiring decision. 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Job Description In Goldman Sachs quantitative strategists are a the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions. We are a team of strategists who work to transform the Equity business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm. Role Responsibilities Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making platform development using a range of technologies, and collaborate closely with Quant Researchers and core engineering teams Take ownership of architectural decisions and implementation of our market making platforms, both strategically and day to day. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment. Excellent written and verbal communication skills. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Jul 24, 2025
Full time
Job Description In Goldman Sachs quantitative strategists are a the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions. We are a team of strategists who work to transform the Equity business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm. Role Responsibilities Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making platform development using a range of technologies, and collaborate closely with Quant Researchers and core engineering teams Take ownership of architectural decisions and implementation of our market making platforms, both strategically and day to day. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment. Excellent written and verbal communication skills. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
