At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. As a Quantitative Financial Analyst - Development Validation, you will ensure the accuracy and quality of financial analytics produced by our asset liability management product. You will serve as the critical bridge between financial theory and implementation, validating that our systems produce correct results aligned with research and industry standards. You will work in a dynamic international environment, collaborating with teams and clients across different countries and time zones. Primary Responsibilities Review financial analytics requirements and collaborate with Engineering, Product Management and Research to design comprehensive testing strategies Develop independent financial model prototypes and benchmarks using Python, R or MATLAB to validate production implementations Create detailed test cases covering edge cases, stress scenarios, and regulatory requirements Analyze discrepancies between expected and actual results, investigating root causes and working with developers to resolve issues Offer constructive, results-based input to product and engineering teams to support the optimization of financial models Execute and maintain regression test suites to ensure continued accuracy across releases Skills and competencies 3 to 5 years of experience in a similar role (model validation, quantitative analysis, or financial model development) Master's degree in Financial Engineering, Quantitative Finance, Accounting, Mathematics, Statistics, or closely-related field Good understanding of Financial Risk Models, Fixed Income analysis or Balance Sheet Management Strong analytical skills with a rigorous, quantitative approach to problem-solving Ability to read and implement financial models from technical specifications Proficiency in Excel, knowledge of Python or R or MATLAB Fluency in English, with strong written and verbal communication skills, is a mandatory requirement. Additional desirable skills Experience with testing frameworks and automation is a plus Programming skills in C++, C# or Java sufficient to understand production code would be a plus Detail-oriented with persistence in identifying and resolving subtle numerical issues Excellent written and verbal communication skills to document findings and explain complex concepts Basic understanding of AI/ML concepts and curiosity about how AI can enhance validation processes Ability to work independently on multiple validation projects while collaborating effectively with cross-functional teams Demonstrated creativity, flexibility, and commitment to continuous learning Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Jan 09, 2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. As a Quantitative Financial Analyst - Development Validation, you will ensure the accuracy and quality of financial analytics produced by our asset liability management product. You will serve as the critical bridge between financial theory and implementation, validating that our systems produce correct results aligned with research and industry standards. You will work in a dynamic international environment, collaborating with teams and clients across different countries and time zones. Primary Responsibilities Review financial analytics requirements and collaborate with Engineering, Product Management and Research to design comprehensive testing strategies Develop independent financial model prototypes and benchmarks using Python, R or MATLAB to validate production implementations Create detailed test cases covering edge cases, stress scenarios, and regulatory requirements Analyze discrepancies between expected and actual results, investigating root causes and working with developers to resolve issues Offer constructive, results-based input to product and engineering teams to support the optimization of financial models Execute and maintain regression test suites to ensure continued accuracy across releases Skills and competencies 3 to 5 years of experience in a similar role (model validation, quantitative analysis, or financial model development) Master's degree in Financial Engineering, Quantitative Finance, Accounting, Mathematics, Statistics, or closely-related field Good understanding of Financial Risk Models, Fixed Income analysis or Balance Sheet Management Strong analytical skills with a rigorous, quantitative approach to problem-solving Ability to read and implement financial models from technical specifications Proficiency in Excel, knowledge of Python or R or MATLAB Fluency in English, with strong written and verbal communication skills, is a mandatory requirement. Additional desirable skills Experience with testing frameworks and automation is a plus Programming skills in C++, C# or Java sufficient to understand production code would be a plus Detail-oriented with persistence in identifying and resolving subtle numerical issues Excellent written and verbal communication skills to document findings and explain complex concepts Basic understanding of AI/ML concepts and curiosity about how AI can enhance validation processes Ability to work independently on multiple validation projects while collaborating effectively with cross-functional teams Demonstrated creativity, flexibility, and commitment to continuous learning Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Quantitative developer €170,000 - 260,000 EUR Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent About the Company I am working with a start-up focused on innovation and excellence in the financial technology sector look to hire Quantitative developers for thier Milan office About the Role Build, maintain, and develop robust and optimized production-grade code to man click apply for full job details
Jan 09, 2026
Full time
Quantitative developer €170,000 - 260,000 EUR Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent About the Company I am working with a start-up focused on innovation and excellence in the financial technology sector look to hire Quantitative developers for thier Milan office About the Role Build, maintain, and develop robust and optimized production-grade code to man click apply for full job details
Global Banking & Markets - Quantitative Researcher - Associate / VP - London MORE ABOUT THIS JOB Job Description At Goldman Sachs, quantitative strategists are at the forefront of our business, solving real-world problems through analytical methods. Working closely with traders and sales, they provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions. Our team focuses on transforming the Equity business through quantitative trading and automation of key decisions. We handle various products such as stocks, options, ETFs, and futures, employing strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate with traders and sales to add value for clients and the firm. Role Responsibilities Lead our Quantitative Trading & Market Making desk, developing strategies for equities, derivatives, and cash products. Apply advanced statistical and AI techniques, including neural networks, to build models that inform systematic trading and risk decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other techniques. Create scalable model calibration frameworks for large-scale time series data using statistical and AI models. Advance our market-making strategies through technological development, collaborating with Quant Developers and engineering teams. Basic Qualifications Strong academic background in physics, mathematics, statistics, engineering, or computer science. Proficiency in programming languages such as C++, Java, or Python. Self-motivated with excellent management skills, capable of handling multiple priorities under pressure. Excellent communication skills, both written and verbal. Goldman Sachs is committed to diversity and inclusion, offering professional growth opportunities, comprehensive benefits, wellness programs, and accommodations for candidates with disabilities. Learn more at
Jan 09, 2026
Full time
Global Banking & Markets - Quantitative Researcher - Associate / VP - London MORE ABOUT THIS JOB Job Description At Goldman Sachs, quantitative strategists are at the forefront of our business, solving real-world problems through analytical methods. Working closely with traders and sales, they provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions. Our team focuses on transforming the Equity business through quantitative trading and automation of key decisions. We handle various products such as stocks, options, ETFs, and futures, employing strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate with traders and sales to add value for clients and the firm. Role Responsibilities Lead our Quantitative Trading & Market Making desk, developing strategies for equities, derivatives, and cash products. Apply advanced statistical and AI techniques, including neural networks, to build models that inform systematic trading and risk decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other techniques. Create scalable model calibration frameworks for large-scale time series data using statistical and AI models. Advance our market-making strategies through technological development, collaborating with Quant Developers and engineering teams. Basic Qualifications Strong academic background in physics, mathematics, statistics, engineering, or computer science. Proficiency in programming languages such as C++, Java, or Python. Self-motivated with excellent management skills, capable of handling multiple priorities under pressure. Excellent communication skills, both written and verbal. Goldman Sachs is committed to diversity and inclusion, offering professional growth opportunities, comprehensive benefits, wellness programs, and accommodations for candidates with disabilities. Learn more at
Overview Role Overview: Lead development of credit and market risk frameworks-model implementation, automation tools, stress testing infrastructure, and risk analytics for enterprise risk management. Must-Haves: 8+ years of quantitative risk analytics or 5 years + grad degree Apply for this position Full Name Email Phone Linkedin Upload CV/Resume Maximum allowed file size is 8 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website.
Jan 09, 2026
Full time
Overview Role Overview: Lead development of credit and market risk frameworks-model implementation, automation tools, stress testing infrastructure, and risk analytics for enterprise risk management. Must-Haves: 8+ years of quantitative risk analytics or 5 years + grad degree Apply for this position Full Name Email Phone Linkedin Upload CV/Resume Maximum allowed file size is 8 MB. Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website.
Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers click apply for full job details
Jan 09, 2026
Full time
Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers click apply for full job details
Excellent opportunity for a Senior Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers click apply for full job details
Jan 09, 2026
Full time
Excellent opportunity for a Senior Quantitative Analyst who is passionate about sports to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers click apply for full job details
Position Overview: We are looking for a Product Owner or a Business Analyst with product ownership growth ambitions with a strong background on Structured Products or exotic OTC strategies, data modelling, required documentation and very good knowledge of front office processes. The successful candidate will work closely with the Products Manager to manage Jira boards, draft and refine tickets, and support developers in understanding the detailed implementation of requirements. You will be instrumental in translating complex topics from industry forums and client discussions into executable tasks for the development team. Key Responsibilities: Review term sheets or pricing requests and understand the needs and how to capture the data to extend our platform automation Collaborate with the Product Manager to manage and prioritize Jira boards, ensuring that all tasks and tickets are clearly defined and actionable. Draft detailed user stories, tickets, and technical specifications for developers, focusing on the implementation of structured products, market data integration, and financial technology solutions. Assist in the investigation and research of complex financial concepts, ensuring thorough understanding and clarity for the development team. Participate in industry forums and working groups, capturing insights and translating outcomes into concrete, executable tasks. Act as a liaison between business stakeholders, product management, and the development team to ensure that requirements are understood, clarified, and aligned with business objectives. Anticipate client and market needs by staying informed on industry trends, and proactively identify potential future requirements. Assist in the testing and validation of delivered features, ensuring they meet business requirements and are aligned with industry best practices. Provide analytical support and present insights to stakeholders for decision-making. Key Skills & Qualifications: 1-3 years of experience on a desk of structured products issuance (buy-side or sell-side). Strong technical aptitude with experience working closely with developers on technical implementation. Ability to comprehend and translate complex financial concepts and discussions into actionable development tasks. Excellent verbal and written communication skills to convey complex topics to both technical and non-technical stakeholders. Strong organizational skills and the ability to manage multiple projects and priorities. Familiarity with Jira for task management, project tracking, and reporting. Excellent analytical and problem-solving skills with attention to detail. Knowledge of agile methodologies and experience working in agile teams. Bachelor's degree in Finance, Economics, Quantitative Finance, or related field. Advanced degree or certifications in finance or technology is a plus. Desirable Skills: Familiarity with financial market data vendors (e.g., Bloomberg, LSEG). Experience with financial modelling or quantitative analysis. Have developed / scripted in different languages Apply today and take the next step in your career with us! WSD is an employer that values diversity. We highly encourage applications from appropriately qualified and eligible candidates irrespective of age, race, religion, national origin, gender, sexual orientation, gender identity and/or expression, veteran status, disability, or any other status protected by applicable law.
Jan 09, 2026
Full time
Position Overview: We are looking for a Product Owner or a Business Analyst with product ownership growth ambitions with a strong background on Structured Products or exotic OTC strategies, data modelling, required documentation and very good knowledge of front office processes. The successful candidate will work closely with the Products Manager to manage Jira boards, draft and refine tickets, and support developers in understanding the detailed implementation of requirements. You will be instrumental in translating complex topics from industry forums and client discussions into executable tasks for the development team. Key Responsibilities: Review term sheets or pricing requests and understand the needs and how to capture the data to extend our platform automation Collaborate with the Product Manager to manage and prioritize Jira boards, ensuring that all tasks and tickets are clearly defined and actionable. Draft detailed user stories, tickets, and technical specifications for developers, focusing on the implementation of structured products, market data integration, and financial technology solutions. Assist in the investigation and research of complex financial concepts, ensuring thorough understanding and clarity for the development team. Participate in industry forums and working groups, capturing insights and translating outcomes into concrete, executable tasks. Act as a liaison between business stakeholders, product management, and the development team to ensure that requirements are understood, clarified, and aligned with business objectives. Anticipate client and market needs by staying informed on industry trends, and proactively identify potential future requirements. Assist in the testing and validation of delivered features, ensuring they meet business requirements and are aligned with industry best practices. Provide analytical support and present insights to stakeholders for decision-making. Key Skills & Qualifications: 1-3 years of experience on a desk of structured products issuance (buy-side or sell-side). Strong technical aptitude with experience working closely with developers on technical implementation. Ability to comprehend and translate complex financial concepts and discussions into actionable development tasks. Excellent verbal and written communication skills to convey complex topics to both technical and non-technical stakeholders. Strong organizational skills and the ability to manage multiple projects and priorities. Familiarity with Jira for task management, project tracking, and reporting. Excellent analytical and problem-solving skills with attention to detail. Knowledge of agile methodologies and experience working in agile teams. Bachelor's degree in Finance, Economics, Quantitative Finance, or related field. Advanced degree or certifications in finance or technology is a plus. Desirable Skills: Familiarity with financial market data vendors (e.g., Bloomberg, LSEG). Experience with financial modelling or quantitative analysis. Have developed / scripted in different languages Apply today and take the next step in your career with us! WSD is an employer that values diversity. We highly encourage applications from appropriately qualified and eligible candidates irrespective of age, race, religion, national origin, gender, sexual orientation, gender identity and/or expression, veteran status, disability, or any other status protected by applicable law.
About Marex Marex Group plc is a diversified global financial services platform, providing essential liquidity, market access and infrastructure services to clients in the energy, commodities and financial markets. It listed on Nasdaq Global Select Market in April 2024. With more than 35 offices in Europe, US and APAC, it has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. Technology Department The Technology Department delivers differentiation, scalability and security for the business. Reporting to the CEO, Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile 'streams' aligned to specific business areas. Our other teams work enterprise wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. Senior C# Developer - Analytics Development Team (London) We're looking for a highly skilled C# engineer with deep software engineering expertise and a strong understanding of financial markets. You'll contribute to the design and development of advanced pricing and risk platforms, including a high performance distributed computing and market data system that supports quantitative research and trading. This role involves close collaboration with technology, trading, and quantitative teams, ensuring solutions meet business objectives while promoting Agile best practices, robust architecture, and continuous innovation. We're seeking a strong C# engineer who's passionate about building scalable, high performance systems and developing innovative products that evolve with the business. Responsibilities Contribute to the architecture, design, and implementation of technology solutions developed and maintained by the team. Collaborate with the Software Development Manager to shape the development roadmap and define strategic priorities. Ensure all delivered systems meet production quality standards, are fully documented, and support a smooth handover for long term maintenance. Help define, promote, and uphold best practices in software engineering to ensure consistency, quality, and scalability across the team's work. Actively participate in Agile ceremonies - including sprint planning, stand ups, and retrospectives - ensuring principles are applied effectively. Support sprint delivery by ensuring stories and bugs are well defined, prioritised, testable, and accompanied by clear acceptance criteria. Troubleshoot, diagnose, and resolve support issues efficiently, maintaining a professional and customer focused approach. Comply with the Operational Risk Framework, meeting all regulatory, security, and company standards. Demonstrate and promote integrity, professionalism, and alignment with Marex values in all interactions. Skills and Experience Expert in C# Strong in Pythonn Hands on experience with React, JavaScript, and TypeScript for front end development. Proven exceptional mathematical and analytical abilities. Strong understanding of risk sensitivities ("Greeks"). Solid experience with derivative products. Skilled in working with SQL Server and MongoDB databases. Experience implementing Infrastructure as Code using Terraform or similar tools. Familiar with modern CI/CD pipelines and DevOps best practices. Knowledge of cloud technologies, ideally AWS (Amazon Web Services). Proficient in using unit and integration testing frameworks to ensure code quality and reliability. Strong understanding of Agile and Scrum methodologies. Methodical approach to software architecture and design, with the ability to apply the right design patterns and principles for each project. Excellent verbal and written communication skills, with the ability to convey complex Competencies Excellent verbal and written communication skills A collaborative team player, approachable, self efficient and influences a positive work environment Demonstrates curiosity Resilient in a challenging, fast paced environment Ability to take a high level of responsibility in a fast pace and high volume environment Excels at building relationships, networking and influencing others Additional Information If you're forging a career in this area and are looking for your next step, get in touch! Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.
Jan 08, 2026
Full time
About Marex Marex Group plc is a diversified global financial services platform, providing essential liquidity, market access and infrastructure services to clients in the energy, commodities and financial markets. It listed on Nasdaq Global Select Market in April 2024. With more than 35 offices in Europe, US and APAC, it has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. Technology Department The Technology Department delivers differentiation, scalability and security for the business. Reporting to the CEO, Technology provides digital tools, software services and infrastructure globally to all business groups. Software development and support teams work in agile 'streams' aligned to specific business areas. Our other teams work enterprise wide to provide critical services including our global service desk, network and system infrastructure, IT operations, security, enterprise architecture and design. Senior C# Developer - Analytics Development Team (London) We're looking for a highly skilled C# engineer with deep software engineering expertise and a strong understanding of financial markets. You'll contribute to the design and development of advanced pricing and risk platforms, including a high performance distributed computing and market data system that supports quantitative research and trading. This role involves close collaboration with technology, trading, and quantitative teams, ensuring solutions meet business objectives while promoting Agile best practices, robust architecture, and continuous innovation. We're seeking a strong C# engineer who's passionate about building scalable, high performance systems and developing innovative products that evolve with the business. Responsibilities Contribute to the architecture, design, and implementation of technology solutions developed and maintained by the team. Collaborate with the Software Development Manager to shape the development roadmap and define strategic priorities. Ensure all delivered systems meet production quality standards, are fully documented, and support a smooth handover for long term maintenance. Help define, promote, and uphold best practices in software engineering to ensure consistency, quality, and scalability across the team's work. Actively participate in Agile ceremonies - including sprint planning, stand ups, and retrospectives - ensuring principles are applied effectively. Support sprint delivery by ensuring stories and bugs are well defined, prioritised, testable, and accompanied by clear acceptance criteria. Troubleshoot, diagnose, and resolve support issues efficiently, maintaining a professional and customer focused approach. Comply with the Operational Risk Framework, meeting all regulatory, security, and company standards. Demonstrate and promote integrity, professionalism, and alignment with Marex values in all interactions. Skills and Experience Expert in C# Strong in Pythonn Hands on experience with React, JavaScript, and TypeScript for front end development. Proven exceptional mathematical and analytical abilities. Strong understanding of risk sensitivities ("Greeks"). Solid experience with derivative products. Skilled in working with SQL Server and MongoDB databases. Experience implementing Infrastructure as Code using Terraform or similar tools. Familiar with modern CI/CD pipelines and DevOps best practices. Knowledge of cloud technologies, ideally AWS (Amazon Web Services). Proficient in using unit and integration testing frameworks to ensure code quality and reliability. Strong understanding of Agile and Scrum methodologies. Methodical approach to software architecture and design, with the ability to apply the right design patterns and principles for each project. Excellent verbal and written communication skills, with the ability to convey complex Competencies Excellent verbal and written communication skills A collaborative team player, approachable, self efficient and influences a positive work environment Demonstrates curiosity Resilient in a challenging, fast paced environment Ability to take a high level of responsibility in a fast pace and high volume environment Excels at building relationships, networking and influencing others Additional Information If you're forging a career in this area and are looking for your next step, get in touch! Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process. If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.
About the Role: Grade Level (for internal use): 11 The Role: Senior Analyst, Quantitative Modeling - S&P Global The Team: The Government's Global Analytics and Methodologies (GAM) team is responsible for a vast portfolio of criteria and models spanning US Public Finance, Sovereigns and International Public Finance. The criteria and models that the group develops and maintains help global analysts produce independent credit ratings covering US State and Local Government ratings, Sovereign ratings, International Public Finance and municipal sectors including Higher Education; Healthcare; Public Housing and Infrastructure. The team is focused on producing timely, insightful, and innovative analysis and research of the highest quality that grows our relevance in the market. As a Model Subject Matter Expert (SME), you will be embedded within the Governments team and work closely with the Model and Criteria SMEs, who are responsible for developing, maintaining, and delivering a growing portfolio of cutting-edge quantitative models and analysis that enable analysts to continually produce high quality and transparent credit analysis. This is an excellent opportunity to join S&P Global as we transform our infrastructure and deliver cloud-based tools to the analytical teams, while also developing your skills and furthering your career as we power the markets of the future. Responsibilities and Impact: Develop and maintain nimble, user-friendly quantitative solutions and tools used by credit analysts globally for credit rating analyses and research publications Partner with Global Analytics and Methodologies, Ratings Technology, and Validation teams to ensure models and tools are reliable, performant, operationally sound, and aligned with business requirements Create applications and dashboards that utilize models, tools, and data for organizational use, synthesizing large datasets to derive analytical insights for credit decisions Focus on identifying opportunities for innovation, creative solutions, and continuous improvement while providing expertise in solving complex, non-routine problems Maintain close collaboration with analysts, model developers, and subject matter experts to ensure data analyses effectively inform analytical decisions across U.S. Public Finance, International Public Finance, and Sovereign portfolios Support end-to-end criteria projects including tool development, testing new concepts, data gathering, writing, and material preparation with clear, governance-compliant documentation All employees are required to work from the office a minimum of 2 days per week We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an off Impact: The Senior Analyst will enhance our ability to produce high-impact, insightful credit analysis and research and grow our relevance in an evolving market by synthesizing, analyzing, and deriving value from datasets, developing and delivering innovative analytic solutions and models, and helping to build data analytics capabilities across Global Analytics and Methodologies. What We're Looking For: Leverage your quantitative abilities to develop analytic solutions and models that enable our credit analysts to perform high quality analysis and research; Stimulating learning curve, which could lead to continued growth within the organization by demonstrating strong analysis, teamwork, and presentation skills; Gain analytic knowledge of a wide range of global sectors and market topics; Obtain exposure to stakeholders across S&P Ratings; and Join a strong collegial, collaborative environment Basic Required Qualifications: Bachelor's degree in Mathematics, Statistics, Economics, Finance, Computer Science, or related quantitative field Knowledge of capital markets, financial instruments with an emphasis on credit risk modeling is preferred 3-5 years of experience in quantitative analysis, financial modeling, or data analytics, preferably within credit risk, ratings, or financial services Proficiency in programming languages such as Python, R, SQL, or similar analytical tools for data manipulation and model development Basic understanding of database modeling/design and applications. Knowledge of SQL and experience in databases such as Oracle, Sybase, or Access would be beneficial Strong analytical and problem-solving skills with ability to work with large, complex datasets and derive meaningful insights Willingness to adapt and continue to develop skills to align to a fast-evolving practice Demonstrated ability to work collaboratively across teams while building relationships outside immediate function Additional Preferred Qualifications: Advanced degree (Master's/PhD) in quantitative field or professional certifications in data science, analytics, or financial modeling Experience in credit risk modeling, sovereign or public finance analysis, or rating agency methodologies Knowledge of regulatory frameworks and governance requirements in financial services, particularly related to model validation and documentation Experience with cloud-based analytics platforms such as AWS, Azure, or Google Cloud, and familiarity with version control systems like Git Compensation/Benefits Information :(This section is only applicable to US candidates): S&P Global states that the anticipated base salary range for this position is USD CO - $91,000 - $111,000 NY - $100,000 - $ 122,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. Right to Work Requirements: For U.S.-based positions this role is limited to persons with indefinite right to work in the United States. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills . click apply for full job details
Jan 08, 2026
Full time
About the Role: Grade Level (for internal use): 11 The Role: Senior Analyst, Quantitative Modeling - S&P Global The Team: The Government's Global Analytics and Methodologies (GAM) team is responsible for a vast portfolio of criteria and models spanning US Public Finance, Sovereigns and International Public Finance. The criteria and models that the group develops and maintains help global analysts produce independent credit ratings covering US State and Local Government ratings, Sovereign ratings, International Public Finance and municipal sectors including Higher Education; Healthcare; Public Housing and Infrastructure. The team is focused on producing timely, insightful, and innovative analysis and research of the highest quality that grows our relevance in the market. As a Model Subject Matter Expert (SME), you will be embedded within the Governments team and work closely with the Model and Criteria SMEs, who are responsible for developing, maintaining, and delivering a growing portfolio of cutting-edge quantitative models and analysis that enable analysts to continually produce high quality and transparent credit analysis. This is an excellent opportunity to join S&P Global as we transform our infrastructure and deliver cloud-based tools to the analytical teams, while also developing your skills and furthering your career as we power the markets of the future. Responsibilities and Impact: Develop and maintain nimble, user-friendly quantitative solutions and tools used by credit analysts globally for credit rating analyses and research publications Partner with Global Analytics and Methodologies, Ratings Technology, and Validation teams to ensure models and tools are reliable, performant, operationally sound, and aligned with business requirements Create applications and dashboards that utilize models, tools, and data for organizational use, synthesizing large datasets to derive analytical insights for credit decisions Focus on identifying opportunities for innovation, creative solutions, and continuous improvement while providing expertise in solving complex, non-routine problems Maintain close collaboration with analysts, model developers, and subject matter experts to ensure data analyses effectively inform analytical decisions across U.S. Public Finance, International Public Finance, and Sovereign portfolios Support end-to-end criteria projects including tool development, testing new concepts, data gathering, writing, and material preparation with clear, governance-compliant documentation All employees are required to work from the office a minimum of 2 days per week We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an off Impact: The Senior Analyst will enhance our ability to produce high-impact, insightful credit analysis and research and grow our relevance in an evolving market by synthesizing, analyzing, and deriving value from datasets, developing and delivering innovative analytic solutions and models, and helping to build data analytics capabilities across Global Analytics and Methodologies. What We're Looking For: Leverage your quantitative abilities to develop analytic solutions and models that enable our credit analysts to perform high quality analysis and research; Stimulating learning curve, which could lead to continued growth within the organization by demonstrating strong analysis, teamwork, and presentation skills; Gain analytic knowledge of a wide range of global sectors and market topics; Obtain exposure to stakeholders across S&P Ratings; and Join a strong collegial, collaborative environment Basic Required Qualifications: Bachelor's degree in Mathematics, Statistics, Economics, Finance, Computer Science, or related quantitative field Knowledge of capital markets, financial instruments with an emphasis on credit risk modeling is preferred 3-5 years of experience in quantitative analysis, financial modeling, or data analytics, preferably within credit risk, ratings, or financial services Proficiency in programming languages such as Python, R, SQL, or similar analytical tools for data manipulation and model development Basic understanding of database modeling/design and applications. Knowledge of SQL and experience in databases such as Oracle, Sybase, or Access would be beneficial Strong analytical and problem-solving skills with ability to work with large, complex datasets and derive meaningful insights Willingness to adapt and continue to develop skills to align to a fast-evolving practice Demonstrated ability to work collaboratively across teams while building relationships outside immediate function Additional Preferred Qualifications: Advanced degree (Master's/PhD) in quantitative field or professional certifications in data science, analytics, or financial modeling Experience in credit risk modeling, sovereign or public finance analysis, or rating agency methodologies Knowledge of regulatory frameworks and governance requirements in financial services, particularly related to model validation and documentation Experience with cloud-based analytics platforms such as AWS, Azure, or Google Cloud, and familiarity with version control systems like Git Compensation/Benefits Information :(This section is only applicable to US candidates): S&P Global states that the anticipated base salary range for this position is USD CO - $91,000 - $111,000 NY - $100,000 - $ 122,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. Right to Work Requirements: For U.S.-based positions this role is limited to persons with indefinite right to work in the United States. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills . click apply for full job details
Location: Perm, Hybrid Role Overview Own end-to-end workflow systems-from research, trading analytics, to execution. Build data pipelines, trading UI tools, and collaborate directly with investment teams. Must-Haves BS/MS in CS, Engineering, Math, Physics 3+ years in quant/technical roles within invest. industry Strong Python; C++, R, Node.js/React are a plus Experience with high-volume financial data sets and agile execution environments Why It Stands Out Work directly with PMs in a small, fast-paced firm
Jan 07, 2026
Full time
Location: Perm, Hybrid Role Overview Own end-to-end workflow systems-from research, trading analytics, to execution. Build data pipelines, trading UI tools, and collaborate directly with investment teams. Must-Haves BS/MS in CS, Engineering, Math, Physics 3+ years in quant/technical roles within invest. industry Strong Python; C++, R, Node.js/React are a plus Experience with high-volume financial data sets and agile execution environments Why It Stands Out Work directly with PMs in a small, fast-paced firm
Overview At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and two years ago we split out as a separate business. Starling Bank has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features and efficient back-office processes that have helped achieve Starling's success. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role The Engine Platform is a highly configurable core banking platform, supporting clients globally. This role is focused on development and delivery of our core Platform technical strategy, such as integrations, connections, configurations, and internal tools to facilitate the platform's growth and allow our clients to integrate with their local providers into the platform. As a Technical Platform Owner at Engine, you will collaborate closely with teams across Technology and work with our engineering and product teams to ensure that our technology platform meets the needs of our clients and partner engineers who integrate with it. You will also ensure that the platform aligns with the company's broader technical strategy, long term goals and make integrating with Engine as seamless as possible. At Engine, we spend our time building products that we're really proud of. We focus on the experience, often delivering things with real polish but sometimes making a fast strategic move. We think being good at product requires clear communication, a sense of focus, and to challenge the conventional ways of doing things. We're open-minded when it comes to hiring, we care more about skills and attitude than specific experience or qualifications. Key Responsibilities Work with platform engineering teams to develop and communicate a cohesive product roadmap that delivers high-impact outcomes that improve developer productivity and experience for our clients engineers. Gather feedback and break down problems: Actively listen to teams for pain points and feedback, gather requirements, and break down complex problems into actionable projects across teams. Drive adoption and education: Promote the platform's capabilities by creating clear documentation (with the help of our technical writers), providing training and guidance to our internal teams. Define and Measure Success: Establish and track key technical and business metrics like API latency, developer satisfaction, integration time, and platform adoption rates to ensure our strategy is impactful. Ensure security and compliance: Collaborate with security and compliance teams to embed best practices and meet all regulatory requirements. Qualifications A deep, hands-on understanding of how modern, distributed systems are built at scale. You should be able to articulate the trade-offs of different architectural decisions and speak fluently about REST APIs, webhooks, event-driven architecture, and asynchronous communication patterns. Hands-on engineering experience or a technical background. Proven experience as a product or platform owner in a highly technical domain. Ideally, you've been a part of a team that has scaled a platform from a foundational stage to a widely adopted product. The ability to simplify and provide clarity on complex, architectural problems to a wide range of stakeholders, from junior engineers to executive leadership. Experience in making evidence-based product decisions using both qualitative and quantitative data, specifically within a technical product context. A proven ability to act as a voice for the user and influence teams and stakeholders without direct authority, particularly in engineering-led environments. You should be comfortable working directly with engineers, both internally and externally. You can "speak their language" and have a strong understanding of how they would integrate into a technical platform. Experience building B2B SaaS products from the ground up. Nice to have Experience integrating with a core banking platform. Experience in the FinTech or banking industry. Experience in taking a software from an internal tool to an external, revenue-generating product. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with someone from the tech team Stage 2 - 60 min with two team members Stage 3 - Final with either CTO/ Deputy CTO or Engineering Director Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Jan 06, 2026
Full time
Overview At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and two years ago we split out as a separate business. Starling Bank has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features and efficient back-office processes that have helped achieve Starling's success. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role The Engine Platform is a highly configurable core banking platform, supporting clients globally. This role is focused on development and delivery of our core Platform technical strategy, such as integrations, connections, configurations, and internal tools to facilitate the platform's growth and allow our clients to integrate with their local providers into the platform. As a Technical Platform Owner at Engine, you will collaborate closely with teams across Technology and work with our engineering and product teams to ensure that our technology platform meets the needs of our clients and partner engineers who integrate with it. You will also ensure that the platform aligns with the company's broader technical strategy, long term goals and make integrating with Engine as seamless as possible. At Engine, we spend our time building products that we're really proud of. We focus on the experience, often delivering things with real polish but sometimes making a fast strategic move. We think being good at product requires clear communication, a sense of focus, and to challenge the conventional ways of doing things. We're open-minded when it comes to hiring, we care more about skills and attitude than specific experience or qualifications. Key Responsibilities Work with platform engineering teams to develop and communicate a cohesive product roadmap that delivers high-impact outcomes that improve developer productivity and experience for our clients engineers. Gather feedback and break down problems: Actively listen to teams for pain points and feedback, gather requirements, and break down complex problems into actionable projects across teams. Drive adoption and education: Promote the platform's capabilities by creating clear documentation (with the help of our technical writers), providing training and guidance to our internal teams. Define and Measure Success: Establish and track key technical and business metrics like API latency, developer satisfaction, integration time, and platform adoption rates to ensure our strategy is impactful. Ensure security and compliance: Collaborate with security and compliance teams to embed best practices and meet all regulatory requirements. Qualifications A deep, hands-on understanding of how modern, distributed systems are built at scale. You should be able to articulate the trade-offs of different architectural decisions and speak fluently about REST APIs, webhooks, event-driven architecture, and asynchronous communication patterns. Hands-on engineering experience or a technical background. Proven experience as a product or platform owner in a highly technical domain. Ideally, you've been a part of a team that has scaled a platform from a foundational stage to a widely adopted product. The ability to simplify and provide clarity on complex, architectural problems to a wide range of stakeholders, from junior engineers to executive leadership. Experience in making evidence-based product decisions using both qualitative and quantitative data, specifically within a technical product context. A proven ability to act as a voice for the user and influence teams and stakeholders without direct authority, particularly in engineering-led environments. You should be comfortable working directly with engineers, both internally and externally. You can "speak their language" and have a strong understanding of how they would integrate into a technical platform. Experience building B2B SaaS products from the ground up. Nice to have Experience integrating with a core banking platform. Experience in the FinTech or banking industry. Experience in taking a software from an internal tool to an external, revenue-generating product. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with someone from the tech team Stage 2 - 60 min with two team members Stage 3 - Final with either CTO/ Deputy CTO or Engineering Director Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. As a Quantitative Financial Analyst - Development Validation, you will ensure the accuracy and quality of financial analytics produced by our asset liability management product. You will serve as the critical bridge between financial theory and implementation, validating that our systems produce correct results aligned with research and industry standards. You will work in a dynamic international environment, collaborating with teams and clients across different countries and time zones. Primary Responsibilities Review financial analytics requirements and collaborate with Engineering, Product Management and Research to design comprehensive testing strategies Develop independent financial model prototypes and benchmarks using Python, R or MATLAB to validate production implementations Create detailed test cases covering edge cases, stress scenarios, and regulatory requirements Analyze discrepancies between expected and actual results, investigating root causes and working with developers to resolve issues Offer constructive, results-based input to product and engineering teams to support the optimization of financial models Execute and maintain regression test suites to ensure continued accuracy across releases Skills and competencies 3 to 5 years of experience in a similar role (model validation, quantitative analysis, or financial model development) Master's degree in Financial Engineering, Quantitative Finance, Accounting, Mathematics, Statistics, or closely-related field Good understanding of Financial Risk Models, Fixed Income analysis or Balance Sheet Management Strong analytical skills with a rigorous, quantitative approach to problem-solving Ability to read and implement financial models from technical specifications Proficiency in Excel, knowledge of Python or R or MATLAB Fluency in English, with strong written and verbal communication skills, is a mandatory requirement. Additional desirable skills Experience with testing frameworks and automation is a plus Programming skills in C++, C# or Java sufficient to understand production code would be a plus Detail-oriented with persistence in identifying and resolving subtle numerical issues Excellent written and verbal communication skills to document findings and explain complex concepts Basic understanding of AI/ML concepts and curiosity about how AI can enhance validation processes Ability to work independently on multiple validation projects while collaborating effectively with cross-functional teams Demonstrated creativity, flexibility, and commitment to continuous learning Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Jan 06, 2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. As a Quantitative Financial Analyst - Development Validation, you will ensure the accuracy and quality of financial analytics produced by our asset liability management product. You will serve as the critical bridge between financial theory and implementation, validating that our systems produce correct results aligned with research and industry standards. You will work in a dynamic international environment, collaborating with teams and clients across different countries and time zones. Primary Responsibilities Review financial analytics requirements and collaborate with Engineering, Product Management and Research to design comprehensive testing strategies Develop independent financial model prototypes and benchmarks using Python, R or MATLAB to validate production implementations Create detailed test cases covering edge cases, stress scenarios, and regulatory requirements Analyze discrepancies between expected and actual results, investigating root causes and working with developers to resolve issues Offer constructive, results-based input to product and engineering teams to support the optimization of financial models Execute and maintain regression test suites to ensure continued accuracy across releases Skills and competencies 3 to 5 years of experience in a similar role (model validation, quantitative analysis, or financial model development) Master's degree in Financial Engineering, Quantitative Finance, Accounting, Mathematics, Statistics, or closely-related field Good understanding of Financial Risk Models, Fixed Income analysis or Balance Sheet Management Strong analytical skills with a rigorous, quantitative approach to problem-solving Ability to read and implement financial models from technical specifications Proficiency in Excel, knowledge of Python or R or MATLAB Fluency in English, with strong written and verbal communication skills, is a mandatory requirement. Additional desirable skills Experience with testing frameworks and automation is a plus Programming skills in C++, C# or Java sufficient to understand production code would be a plus Detail-oriented with persistence in identifying and resolving subtle numerical issues Excellent written and verbal communication skills to document findings and explain complex concepts Basic understanding of AI/ML concepts and curiosity about how AI can enhance validation processes Ability to work independently on multiple validation projects while collaborating effectively with cross-functional teams Demonstrated creativity, flexibility, and commitment to continuous learning Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
This cookie notice applies to the Workday Careers website A cookie are widely used for website's functionality, or to make it operate more efficiently, as well as to provide information to the owners of the site. We use re-targeting (which is a cookie-based technology) that uses simple Javascript code to anonymously 'follow' our audience all over the Web. We use this technology to target individuals for advertising campaigns.To understand how the FCA collects and processes personal data please refer to the .have been set, visit or .To find information relating to other browsers, visit the browser developer's website.To opt out of being tracked by Google Analytics across all websites, visit . Banner .We use re-targeting (which is a cookie-based technology) that uses simple Javascript code to anonymously 'follow' our audience all over the Web.# Accessibility Statement This accessibility statement applies to content published on thedomain and its sub-domains. It does not apply to content on or other domains.This website is run by the Financial Conduct Authority. We are committed to inclusive design and ensuring that our web content is accessible to all.For example, that means you should be able to: zoom in up to 300% without the text spilling off the screen navigate most of the website using just a keyboard navigate most of the website using speech recognition software listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)We've also ensured that the text is clear and easy to understand. has advice on making your device easier to use if you have a disability. How accessible this website is We know some parts of this website are not fully accessible: Checkboxes are not accessible using standard voice commands. Some radio buttons are not given group titles when tabbing to them using a screen reader. Edit combo fields with options lists can be difficult to navigate to with voice commands when the field is completed. The programmatic labelling of edit combo fields with options lists is not clear when using a screen reader. Feedback and contact information If you need information on this website in a different format contact us and tell us: the web address (URL) of the content your name and email address the format you need - for example large print, braille or audio Reporting accessibility problems with this website We're always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we're not meeting accessibility requirements, contact us. Enforcement procedure The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the 'accessibility regulations'). If you're not happy with how we respond to your complaint, . Technical information about this website's accessibility The Financial Conduct Authority is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018. Compliance status This website is partially compliant with the AA standard, due to 'the non-compliances' listed below. Non-accessible content The content listed below is non-accessible for the following reasons. Non-compliance with the accessibility regulations Checkboxes are not accessible using standard voice commands such as "Click checkbox" and can only be accessed by using "Tab" commands. This fails WCAG 2.1 success criterion 1.3.1 ( Information & Relationships ). Some radio buttons are not given group titles when tabbing to them using a screen reader. This fails WCAG 2.1 success criterion 1.3.1 ( Information & Relationships ). Edit combo fields with options lists can be difficult to navigate to with voice commands when the field is completed. This fails WCAG 2.1 success criterion 1.3.1 ( Information & Relationships ). The programmatic labelling of edit combo fields with options lists is not clear when using a screen reader. This fails WCAG 2.1 success criterion 1.3.1 ( Information & Relationships ). What we're doing to improve accessibility We are actively engaging with our site developers and independent accessibility professionals to address the issues above and improve overall accessibility with the eventual goal of attaining full WCAG AA compliance. Preparation of this Accessibility Statement This statement was prepared on 22nd July 2021. It was last reviewed on 22nd July 2021.This website was last tested on 02/02/2021. Testing was carried out by Blazie Engineering using the Website Accessibility Conformance Evaluation Methodology (WCAG-EM) approach to deciding on a sample of pages to test. Senior Economist - 12 Month Fixed Term Contract Division: Operations Department: Economics Salary: National (Edinburgh and Leeds) ranging from £52,400 to £65,500 and London from £57,700 to £72,000 (salary offered will be based on skills and experience) This role is graded as: Senior Associate Your recruitment contact is Riley Fox via . Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted. About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK financial services.The Economics Division is formed by a vibrant mix of backgrounds and works closely with colleagues across the FCA to ensure high-quality and effective choices across all aspects of FCA regulation.We are seeking Economists for the following positions: Growth Strategic Research and Analysis (Strategic Economic Analysis - Growth and Markets Team) Risk and Rebalancing - Economic Strategy Team Role responsibilities Growth Strategic Research and Analysis Deliver High-Quality Research: Use advanced quantitative and qualitative methods-such as econometrics and causal inference-to uncover how regulation drives growth Turn Evidence into Action: Translate findings into clear, actionable insights for FCA seniors and the wider policy community, shaping choices that matter Influence Strategic Direction: Guide economic analysis on policy implications for growth, informing choices at the FCA's most senior levels, including the Executive Committee and Board Champion Growth Strategy: Support and communicate the FCA's Growth Strategy by contributing to speeches, parliamentary hearings, and major industry eventsRisk Rebalancing Economics Strategy Team Own Key Risk Initiatives: Guide elements of the FCA's work on Risk Rebalancing and Tolerable Failure by refining analytical frameworks and ensuring their effective use across the organisation Showcase Real-World Impact: Develop case studies that demonstrate how the framework applies to authorisation, supervision, and enforcement, influencing critical regulatory choices Drive Adoption and Understanding: Champion the rollout of the Analytical Framework internally and externally through briefings, guidance, and consistent implementation across teams Innovate for the Future: Contribute to systems-thinking projects and explore AI-driven solutions to enhance economic insight and regulatory effectiveness Skills required Minimum: Proven Economic experience from a degree in Economics or with at least 50% of the modules in Economics Prior experience applying appropriate economic tools, techniques and methods to a range of analytical problems or research questions, drawing on relevant economic theory Demonstrable experience engaging
Jan 03, 2026
Full time
This cookie notice applies to the Workday Careers website A cookie are widely used for website's functionality, or to make it operate more efficiently, as well as to provide information to the owners of the site. We use re-targeting (which is a cookie-based technology) that uses simple Javascript code to anonymously 'follow' our audience all over the Web. We use this technology to target individuals for advertising campaigns.To understand how the FCA collects and processes personal data please refer to the .have been set, visit or .To find information relating to other browsers, visit the browser developer's website.To opt out of being tracked by Google Analytics across all websites, visit . Banner .We use re-targeting (which is a cookie-based technology) that uses simple Javascript code to anonymously 'follow' our audience all over the Web.# Accessibility Statement This accessibility statement applies to content published on thedomain and its sub-domains. It does not apply to content on or other domains.This website is run by the Financial Conduct Authority. We are committed to inclusive design and ensuring that our web content is accessible to all.For example, that means you should be able to: zoom in up to 300% without the text spilling off the screen navigate most of the website using just a keyboard navigate most of the website using speech recognition software listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)We've also ensured that the text is clear and easy to understand. has advice on making your device easier to use if you have a disability. How accessible this website is We know some parts of this website are not fully accessible: Checkboxes are not accessible using standard voice commands. Some radio buttons are not given group titles when tabbing to them using a screen reader. 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Senior Economist - 12 Month Fixed Term Contract Division: Operations Department: Economics Salary: National (Edinburgh and Leeds) ranging from £52,400 to £65,500 and London from £57,700 to £72,000 (salary offered will be based on skills and experience) This role is graded as: Senior Associate Your recruitment contact is Riley Fox via . Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted. About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK financial services.The Economics Division is formed by a vibrant mix of backgrounds and works closely with colleagues across the FCA to ensure high-quality and effective choices across all aspects of FCA regulation.We are seeking Economists for the following positions: Growth Strategic Research and Analysis (Strategic Economic Analysis - Growth and Markets Team) Risk and Rebalancing - Economic Strategy Team Role responsibilities Growth Strategic Research and Analysis Deliver High-Quality Research: Use advanced quantitative and qualitative methods-such as econometrics and causal inference-to uncover how regulation drives growth Turn Evidence into Action: Translate findings into clear, actionable insights for FCA seniors and the wider policy community, shaping choices that matter Influence Strategic Direction: Guide economic analysis on policy implications for growth, informing choices at the FCA's most senior levels, including the Executive Committee and Board Champion Growth Strategy: Support and communicate the FCA's Growth Strategy by contributing to speeches, parliamentary hearings, and major industry eventsRisk Rebalancing Economics Strategy Team Own Key Risk Initiatives: Guide elements of the FCA's work on Risk Rebalancing and Tolerable Failure by refining analytical frameworks and ensuring their effective use across the organisation Showcase Real-World Impact: Develop case studies that demonstrate how the framework applies to authorisation, supervision, and enforcement, influencing critical regulatory choices Drive Adoption and Understanding: Champion the rollout of the Analytical Framework internally and externally through briefings, guidance, and consistent implementation across teams Innovate for the Future: Contribute to systems-thinking projects and explore AI-driven solutions to enhance economic insight and regulatory effectiveness Skills required Minimum: Proven Economic experience from a degree in Economics or with at least 50% of the modules in Economics Prior experience applying appropriate economic tools, techniques and methods to a range of analytical problems or research questions, drawing on relevant economic theory Demonstrable experience engaging
FID - FXEM Quant Strategist - Assoc / VP Department Overview The Fixed Income Division (FID) is comprised of Interest Rate and Currency Products, Credit Products, Securitized Products, and Municipal Securities. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals trade in both physical and derivative commodity risk. About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. What will you be doing? We are currently seeking a highly skilled Quantitative Strategist at the Associate or VP level to join our Linear FXEM Desk Strat team in London. This role will primarily support our LN STIRT and EM Local Markets trading desks. The successful candidate will assist in driving strategic initiatives while also collaborating globally with other strategists, technology, and sales. Developing new models for linear products (pricing / risk management / flow PnL) while maintaining & improving existing models & analytics. Supporting traders with trade pricing, risk management and PnL investigation. Developing tools for pricing, risk management and data driven insights. Collaborate with Technology teams to deliver, test models and create tools for trading desk applications. Work closely with controllers and model risk groups to ensure thorough documentation and approval of models. What We're Looking For : Excellent analytical and problem solving skills. MSc or PhD in mathematics, physics, or a similar quantitative subject. Good understanding of Linear FX / IR products and market conventions. Strong coding and developer skills (experience in any of Scala, C++ or KDB is relevant). Strong technical communication skills & ability to work independently. Certified Persons Regulatory Requirements This role is deemed as a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible Work Statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Internal Applicants Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here. Equal Opportunities Statement Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. What You Can Expect From Morgan Stanley We are committed to maintaining the first class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser.
Jan 02, 2026
Full time
FID - FXEM Quant Strategist - Assoc / VP Department Overview The Fixed Income Division (FID) is comprised of Interest Rate and Currency Products, Credit Products, Securitized Products, and Municipal Securities. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals trade in both physical and derivative commodity risk. About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. What will you be doing? We are currently seeking a highly skilled Quantitative Strategist at the Associate or VP level to join our Linear FXEM Desk Strat team in London. This role will primarily support our LN STIRT and EM Local Markets trading desks. The successful candidate will assist in driving strategic initiatives while also collaborating globally with other strategists, technology, and sales. Developing new models for linear products (pricing / risk management / flow PnL) while maintaining & improving existing models & analytics. Supporting traders with trade pricing, risk management and PnL investigation. Developing tools for pricing, risk management and data driven insights. Collaborate with Technology teams to deliver, test models and create tools for trading desk applications. Work closely with controllers and model risk groups to ensure thorough documentation and approval of models. What We're Looking For : Excellent analytical and problem solving skills. MSc or PhD in mathematics, physics, or a similar quantitative subject. Good understanding of Linear FX / IR products and market conventions. Strong coding and developer skills (experience in any of Scala, C++ or KDB is relevant). Strong technical communication skills & ability to work independently. Certified Persons Regulatory Requirements This role is deemed as a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible Work Statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Internal Applicants Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here. Equal Opportunities Statement Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. What You Can Expect From Morgan Stanley We are committed to maintaining the first class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser.
We are seeking a talented Python developer to join our growing Quantitative Development team. In this role, you will play a key part in developing and maintaining cutting-edge quantitative tools and infrastructure used by our front-office traders and quants. Requirements Responsibilities: Design, develop, and implement quantitative applications using Python, leveraging libraries such as NumPy, Pandas, SciPy, and others. Partner with quants and traders to understand their needs and translate them into efficient and robust software solutions. Develop and maintain test frameworks to ensure the quality and accuracy of quantitative code. Collaborate with DevOps engineers to automate deployment pipelines and ensure smooth integration with existing infrastructure. Stay up-to-date with the latest advancements in quantitative finance and Python libraries. Qualifications Minimum of 3 years of experience in Python development, with a strong understanding of object-oriented programming principles. Proven experience working in a quantitative finance or front office environment (a plus). Solid knowledge of financial mathematics and statistics (a plus). Experience with version control systems (e.g., Git). Excellent communication and collaboration skills. Strong work ethic and a passion for delivering high-quality work. Additional benefits include a competitive salary and benefits package, opportunities to work on challenging and impactful projects, a collaborative and fast-paced work environment, and continuous learning and development opportunities. Note: We are a leading recruitment/IT services company partnering with a Global IT Services firm to connect top IT talent with leading financial institutions, including Fortune 500 banks and IT services firms. We leverage our industry expertise to identify the most sought-after positions for highly skilled candidates.
Jan 01, 2026
Full time
We are seeking a talented Python developer to join our growing Quantitative Development team. In this role, you will play a key part in developing and maintaining cutting-edge quantitative tools and infrastructure used by our front-office traders and quants. Requirements Responsibilities: Design, develop, and implement quantitative applications using Python, leveraging libraries such as NumPy, Pandas, SciPy, and others. Partner with quants and traders to understand their needs and translate them into efficient and robust software solutions. Develop and maintain test frameworks to ensure the quality and accuracy of quantitative code. Collaborate with DevOps engineers to automate deployment pipelines and ensure smooth integration with existing infrastructure. Stay up-to-date with the latest advancements in quantitative finance and Python libraries. Qualifications Minimum of 3 years of experience in Python development, with a strong understanding of object-oriented programming principles. Proven experience working in a quantitative finance or front office environment (a plus). Solid knowledge of financial mathematics and statistics (a plus). Experience with version control systems (e.g., Git). Excellent communication and collaboration skills. Strong work ethic and a passion for delivering high-quality work. Additional benefits include a competitive salary and benefits package, opportunities to work on challenging and impactful projects, a collaborative and fast-paced work environment, and continuous learning and development opportunities. Note: We are a leading recruitment/IT services company partnering with a Global IT Services firm to connect top IT talent with leading financial institutions, including Fortune 500 banks and IT services firms. We leverage our industry expertise to identify the most sought-after positions for highly skilled candidates.
Flowdesk's mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency. To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines. We seek individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure. Are you looking for an exciting opportunity to join a newly formed quant trading team at an innovative and exciting crypto trading firm? By joining us as a Quant Developer, you will have an opportunity to play a pivotal part in the buildout and scale-up of our new HFT platform built in Rust. Your mission will be to work on (and not limited to); Develop trading algorithms;Create and improve algorithms for trading, including those for low-latency, high-frequency trading Build front-office systems;Create systems for algorithmic trading, including data, risk, live trading, and post-trade Integrate with DeFi venues;Onboard real-time data feeds from DeFi protocols Backtest models;Test models on historical data to assess their feasibility and make improvements For further background, Flowdesk is a technology and crypto financial services firm founded in 2020, operating globally and serving a wide range of clients across the globe. Flowdesk ambition is to become one of the major technology providers in the space while operating in a fully compliant and efficient manner. The newly formed team in question is led by an industry known HFT expert with experience building some of the most profitable trading desks within the space. Location is either remote; or hybrid if you are based in London, Paris or Singapore. Very high level of raw programming talent Low-level development / performance optimization 2+ years coding HFT systems/Trading system development Solid understanding of how order books, order state machines, etc. work Rust programming skills (can accept primarily C/C++ experience if they have at least used Rust before. All interviews and job tasks will be in Rust). Familiarity with Crypto markets would be beneficial Skills and personality Curious and autonomous Highly motivated and results-driven Strong maths and analytical skills Ability to successfully manage multiple tasks in a fast-paced collaborative environment Professional proficiency in English Company Culture and Values At Flowdesk, our culture drives our success. Here's how we live it Ambition, We aim to conquer an impactful place in the crypto ecosystem while representing Tech expertise. We're always moving quickly toward our goals. Ownership, If you believe in something, own it, make it happen, or at least learn from it. Humility, The final result is a puzzle built by everyone's efforts-not one person takes all the credit. Collaboration, While speed matters, we believe in waiting for others to move forward together. That's how we achieve success as a team. International environment (English is the main language) 100% health coverage Team events and offsites Recruitment process Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet! Here's what you can expect if you apply HR interview (30') Technical interview (30') Take home assignment + Live coding session (60') Chat with the Head of People (30') and the Head of Department (30') On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!
Jan 01, 2026
Full time
Flowdesk's mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency. To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines. We seek individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure. Are you looking for an exciting opportunity to join a newly formed quant trading team at an innovative and exciting crypto trading firm? By joining us as a Quant Developer, you will have an opportunity to play a pivotal part in the buildout and scale-up of our new HFT platform built in Rust. Your mission will be to work on (and not limited to); Develop trading algorithms;Create and improve algorithms for trading, including those for low-latency, high-frequency trading Build front-office systems;Create systems for algorithmic trading, including data, risk, live trading, and post-trade Integrate with DeFi venues;Onboard real-time data feeds from DeFi protocols Backtest models;Test models on historical data to assess their feasibility and make improvements For further background, Flowdesk is a technology and crypto financial services firm founded in 2020, operating globally and serving a wide range of clients across the globe. Flowdesk ambition is to become one of the major technology providers in the space while operating in a fully compliant and efficient manner. The newly formed team in question is led by an industry known HFT expert with experience building some of the most profitable trading desks within the space. Location is either remote; or hybrid if you are based in London, Paris or Singapore. Very high level of raw programming talent Low-level development / performance optimization 2+ years coding HFT systems/Trading system development Solid understanding of how order books, order state machines, etc. work Rust programming skills (can accept primarily C/C++ experience if they have at least used Rust before. All interviews and job tasks will be in Rust). Familiarity with Crypto markets would be beneficial Skills and personality Curious and autonomous Highly motivated and results-driven Strong maths and analytical skills Ability to successfully manage multiple tasks in a fast-paced collaborative environment Professional proficiency in English Company Culture and Values At Flowdesk, our culture drives our success. Here's how we live it Ambition, We aim to conquer an impactful place in the crypto ecosystem while representing Tech expertise. We're always moving quickly toward our goals. Ownership, If you believe in something, own it, make it happen, or at least learn from it. Humility, The final result is a puzzle built by everyone's efforts-not one person takes all the credit. Collaboration, While speed matters, we believe in waiting for others to move forward together. That's how we achieve success as a team. International environment (English is the main language) 100% health coverage Team events and offsites Recruitment process Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet! Here's what you can expect if you apply HR interview (30') Technical interview (30') Take home assignment + Live coding session (60') Chat with the Head of People (30') and the Head of Department (30') On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!
Responsibilities Monitor and manage risk during local time zone + rotation for weekend shift. Conduct research/pricing/execution to facilitate hedging by using our automated trading infrastructure. Improving existing strategies and developing new strategies Identifying new markets/opportunities Perform post-trade analysis of strategies. Collaborating with quant developers to implement trading strategies and system features. Job Requirements Master's, or PhD in mathematics, statistics, engineering, computer science, or related quantitative analytical field. 5+ profitable trading experience on a leading trading desk in a bank, proprietary trading, or market making environment in any asset class. Demonstrable experience in successfully building and managing trades. Familiar with Python and have a keen interest in expanding your technical skillset. Think critically and strive for continuous improvement. Excellent organizational and interpersonal skills, with high attention to detail and excellent organization skills. Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments.
Jan 01, 2026
Full time
Responsibilities Monitor and manage risk during local time zone + rotation for weekend shift. Conduct research/pricing/execution to facilitate hedging by using our automated trading infrastructure. Improving existing strategies and developing new strategies Identifying new markets/opportunities Perform post-trade analysis of strategies. Collaborating with quant developers to implement trading strategies and system features. Job Requirements Master's, or PhD in mathematics, statistics, engineering, computer science, or related quantitative analytical field. 5+ profitable trading experience on a leading trading desk in a bank, proprietary trading, or market making environment in any asset class. Demonstrable experience in successfully building and managing trades. Familiar with Python and have a keen interest in expanding your technical skillset. Think critically and strive for continuous improvement. Excellent organizational and interpersonal skills, with high attention to detail and excellent organization skills. Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments.
Overview Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience's Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You'll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You'll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities Serve as a "Sciborg" on the Technical Enablement team, engaging internal and external stakeholders in deeply technical and scientific dialogues to improve customer product relevance, market fit, and customer success. This customer-facing role requires a deep understanding of data management in a scientific domain. Work with data scientists, lab scientists and lab managers (or R&D IT with lab data responsibilities) to understand and define the workflow needed to solve their problems. Translate this knowledge into solutions using TetraScience's Scientific Data & AI Cloud. Educate and evangelize all internal and external stakeholders around use cases and the technology that enables them, serving as the connective tissue between TetraScience and its customers. Prepare internal business analysts, solution architects, technical architects, data architects, data engineers with scientific context, literature, and technical best practices. Translate complex technical topics into easily digestible content for non-technical stakeholders. Drive the creation of technical resources, best practices, and self-service tools that help developers succeed in building on TetraScience's Scientific Data & AI Cloud. Design and deliver compelling presentations and demonstrations to both small and large audiences. Design and execute workshops, hackathons, webinars, and events to educate and engage the developer community. Produce technical blogs, tutorials, sample code, and other content to showcase capabilities and best practices. Collaborate with Product and Engineering to translate business/user requirements and feedback into actionable product requirements for development teams across the product surface area (for example: platform integrations, data pipelines, data app infrastructure). Collaborate with UX/UI designers and advocate for developers to ensure the product interface is user-friendly, facilitating seamless data access, reuse, and analysis Bring creative ideas and proposals to development teams and executives supported by qualitative justification and quantitative analysis. Must Have 2+ years professional experience in a Life Sciences company and/or a scientific background 3+ years professional experience as data scientist, scientific data engineer, or solutions architect 2+ years professional experience in technical enablement and/or developer relations Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies Deep understanding of drug discovery, development, and manufacturing processes Ability to travel regularly to customer locations and whiteboard the product strategy with them Experience with data governance, privacy, and compliance considerations Exceptional stakeholder management skills with ability to influence C-level executives Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment Experience working with high-bandwidth and high-energy professionals Insatiable curiosity to learn, develop, and grow year-over-year Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have Experience at high-growth SaaS companies with complex data needs Previous experience as a practicing bench scientist is highly valued Previous experience within a biopharma company in an IT related function is a big plus Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience Familiarity with enterprise sales processs within the pharmaceutical sector Experience with AWS application stack Competitive Salary and equity in a fast-growing company. Supportive, team-oriented culture of continuous improvement. Generous paid time off (PTO). Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position
Jan 01, 2026
Full time
Overview Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience's Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You'll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You'll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities Serve as a "Sciborg" on the Technical Enablement team, engaging internal and external stakeholders in deeply technical and scientific dialogues to improve customer product relevance, market fit, and customer success. This customer-facing role requires a deep understanding of data management in a scientific domain. Work with data scientists, lab scientists and lab managers (or R&D IT with lab data responsibilities) to understand and define the workflow needed to solve their problems. Translate this knowledge into solutions using TetraScience's Scientific Data & AI Cloud. Educate and evangelize all internal and external stakeholders around use cases and the technology that enables them, serving as the connective tissue between TetraScience and its customers. Prepare internal business analysts, solution architects, technical architects, data architects, data engineers with scientific context, literature, and technical best practices. Translate complex technical topics into easily digestible content for non-technical stakeholders. Drive the creation of technical resources, best practices, and self-service tools that help developers succeed in building on TetraScience's Scientific Data & AI Cloud. Design and deliver compelling presentations and demonstrations to both small and large audiences. Design and execute workshops, hackathons, webinars, and events to educate and engage the developer community. Produce technical blogs, tutorials, sample code, and other content to showcase capabilities and best practices. Collaborate with Product and Engineering to translate business/user requirements and feedback into actionable product requirements for development teams across the product surface area (for example: platform integrations, data pipelines, data app infrastructure). Collaborate with UX/UI designers and advocate for developers to ensure the product interface is user-friendly, facilitating seamless data access, reuse, and analysis Bring creative ideas and proposals to development teams and executives supported by qualitative justification and quantitative analysis. Must Have 2+ years professional experience in a Life Sciences company and/or a scientific background 3+ years professional experience as data scientist, scientific data engineer, or solutions architect 2+ years professional experience in technical enablement and/or developer relations Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies Deep understanding of drug discovery, development, and manufacturing processes Ability to travel regularly to customer locations and whiteboard the product strategy with them Experience with data governance, privacy, and compliance considerations Exceptional stakeholder management skills with ability to influence C-level executives Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment Experience working with high-bandwidth and high-energy professionals Insatiable curiosity to learn, develop, and grow year-over-year Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have Experience at high-growth SaaS companies with complex data needs Previous experience as a practicing bench scientist is highly valued Previous experience within a biopharma company in an IT related function is a big plus Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience Familiarity with enterprise sales processs within the pharmaceutical sector Experience with AWS application stack Competitive Salary and equity in a fast-growing company. Supportive, team-oriented culture of continuous improvement. Generous paid time off (PTO). Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position
Data Analyst (Lending Strategy) Hybrid in London, United Kingdom The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that's fast, flexible, and actually works for modern businesses. Our impact speaks for itself: we've provided billions in funding to more than 150,000 businesses across Europe, making us one of the continent's leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected opportunities, we ensure they get the funds they need - often within minutes. The team The Credit Risk Modelling team builds and improves the models that drive iwoca's lending decisions. They combine data science, engineering, and risk expertise to balance automation with human judgement, and their work supports everything from underwriting and pricing to portfolio monitoring. The team's work is central to iwoca's growth and has a direct impact on both customer outcomes and business performance. The team includes eight data scientists, two developers, and three lending strategy data analysts, all working hybrid schedules in London. The team's work is quite collaborative and there's always four or five people in the office on a given day. The team plans objectives for each quarter and manages progress with weekly meetings. They also have standups every other day to share concerns and help each other. The role You'll analyse data and contribute to the development of our credit models for the enhanced underwriting segment. You'll work with analysts, data scientists, and senior stakeholders to shape iwoca's lending strategy. Learn: Build expertise in the credit domain. Develop your analytical skills through exposure to different experimental approaches and complex analysis. Develop commercial influence: Practice turning data into information, and information into insights, so that you and various stakeholders can deliver improvements with real impact for our customers. Work on interesting and impactful projects, for example: Monitoring and refining risk models to improve decision making and portfolio outcomes Analysing portfolios and tests to investigate credit performance, identify drivers of change, and adapt lending strategies Improving our data, systems, and workflows to strengthen underwriting and monitoring Supporting new product launches and adapting policies to meet investor and regulatory needs The requirements Essential: A quantitative background, such as a degree in mathematics, statistics, economics, engineering, or a related field Ability to analyse data and generate insights to support decisions Ability to evaluate underwriting processes and improve credit models or policies Clear written and verbal communication, with the ability to tailor analysis and recommendations to different audiences A team player, with the ability to work confidently and enthusiastically with different people and teams Bonus: Experience in B2B or B2C credit risk, lending, and strategy Proficiency in SQL and Python Experience with data visualisation tools like Looker The salary We expect to pay from £40,000-£55,000 for this role. But, we're open minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices: We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits: Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle to work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack
Jan 01, 2026
Full time
Data Analyst (Lending Strategy) Hybrid in London, United Kingdom The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that's fast, flexible, and actually works for modern businesses. Our impact speaks for itself: we've provided billions in funding to more than 150,000 businesses across Europe, making us one of the continent's leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected opportunities, we ensure they get the funds they need - often within minutes. The team The Credit Risk Modelling team builds and improves the models that drive iwoca's lending decisions. They combine data science, engineering, and risk expertise to balance automation with human judgement, and their work supports everything from underwriting and pricing to portfolio monitoring. The team's work is central to iwoca's growth and has a direct impact on both customer outcomes and business performance. The team includes eight data scientists, two developers, and three lending strategy data analysts, all working hybrid schedules in London. The team's work is quite collaborative and there's always four or five people in the office on a given day. The team plans objectives for each quarter and manages progress with weekly meetings. They also have standups every other day to share concerns and help each other. The role You'll analyse data and contribute to the development of our credit models for the enhanced underwriting segment. You'll work with analysts, data scientists, and senior stakeholders to shape iwoca's lending strategy. Learn: Build expertise in the credit domain. Develop your analytical skills through exposure to different experimental approaches and complex analysis. Develop commercial influence: Practice turning data into information, and information into insights, so that you and various stakeholders can deliver improvements with real impact for our customers. Work on interesting and impactful projects, for example: Monitoring and refining risk models to improve decision making and portfolio outcomes Analysing portfolios and tests to investigate credit performance, identify drivers of change, and adapt lending strategies Improving our data, systems, and workflows to strengthen underwriting and monitoring Supporting new product launches and adapting policies to meet investor and regulatory needs The requirements Essential: A quantitative background, such as a degree in mathematics, statistics, economics, engineering, or a related field Ability to analyse data and generate insights to support decisions Ability to evaluate underwriting processes and improve credit models or policies Clear written and verbal communication, with the ability to tailor analysis and recommendations to different audiences A team player, with the ability to work confidently and enthusiastically with different people and teams Bonus: Experience in B2B or B2C credit risk, lending, and strategy Proficiency in SQL and Python Experience with data visualisation tools like Looker The salary We expect to pay from £40,000-£55,000 for this role. But, we're open minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices: We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits: Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle to work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack
About Faculty At Faculty, we transform organisational performance through safe, impactful and human centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science's team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role As a Senior Data Scientist, you will lead high impact AI projects and shape the technical direction of bespoke solutions. This role requires hands on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing: Leading project teams that deliver bespoke algorithms and high stakes AI solutions to clients across the sector. Conceiving the core data science approach and designing the associated robust software architecture for new engagements. Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects. Partnering with commercial teams to build client relationships and shape project scope for technical feasibility. Contributing to Faculty's thought leadership and reputation through delivering courses, public speaking, or open source projects. Ensuring best practices are followed throughout the project lifecycle to guarantee high quality, impactful delivery. Who we're looking for: You possess senior experience in a professional data science position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture. You exhibit commercial awareness, with experience in client facing work and the ability to translate business problems into a rigorous mathematical framework. You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high quality work on a strict schedule. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jan 01, 2026
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. Bringing medicine to patients is complex, expensive and high risk. Faculty's Life Science's team is concentrated on building AI solutions which optimise the research and commercialisation of life changing therapies. We partner with major pharma firms, academic research centres and MedTech start ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role As a Senior Data Scientist, you will lead high impact AI projects and shape the technical direction of bespoke solutions. This role requires hands on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing: Leading project teams that deliver bespoke algorithms and high stakes AI solutions to clients across the sector. Conceiving the core data science approach and designing the associated robust software architecture for new engagements. Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects. Partnering with commercial teams to build client relationships and shape project scope for technical feasibility. Contributing to Faculty's thought leadership and reputation through delivering courses, public speaking, or open source projects. Ensuring best practices are followed throughout the project lifecycle to guarantee high quality, impactful delivery. Who we're looking for: You possess senior experience in a professional data science position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms. You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture. You exhibit commercial awareness, with experience in client facing work and the ability to translate business problems into a rigorous mathematical framework. You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high quality work on a strict schedule. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
