6 mathematical modeler jobs found in London

Evenbreak is a job board that helps disabled job seekers and inclusive employers find each other. This role is being advertised on behalf of dunnhumby  by Evenbreak. If you have lived experience of a disability, are neurodivergent, or have a long-term health condition, please apply using this link. If not, you can also find this vacancy on the employer's website and apply directly. Job description starts below: Senior Applied Data Scientist London | Full-time | Hybrid About dunnhumby dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers. Applied Data Science Our Applied Data Science team turns dunnhumby's...

We are seeking a strategic Senior Quantitative Analyst to develop and scale our cash equity algorithmic trading electronic execution platform. In this role, you will leverage cutting edge AI technologies and mathematical methods to research EMEA equity market microstructure and drive platform innovation. If you thrive on complex quantitative deliverables and want to shape our directional trading strategy, this role offers significant growth and impact. Responsibilities Build and scale our cash equity electronic execution platform using Java, Rust, and advanced AI technologies to power the next generation of algorithmic trading systems. Conduct EMEA equity market microstructure research, applying advanced statistics, probability, and mathematical finance to extract actionable trading insights. Backtest and prototype quantitative research strategies, leveraging Python and kdb+ to validate and optimize algorithmic trading models. Monitor and analyze client trading...

Job Description: Job Purpose The successful candidate will join ICE’s Global Quantitative Research team, which develops and supports enterprise-level quantitative models and systems. This role focuses on research and development of models for ICE Data Services and Clearing Houses, with direct exposure to interest rate, equity, credit, and commodity derivatives.   The position requires strong quantitative finance expertise, programming proficiency, and mathematical rigor. Effective communication across multidisciplinary teams is essential.   Responsibilities Build models to price ETD and complex derivatives across all asset classes. Model volatility surface dynamics for liquid and illiquid assets Drive clearing house margin, stress and collateral management models R&D. Contribute strongly to “hands-on” and ad-hoc requests for development and solutions in time-critical situations. Interact with risk departments to provide support for existing clearing house...

Job Description: Job Purpose Join ICE's Global Quantitative Research team to spearhead the design and implementation of advanced quantitative models for pricing, volatility surfaces, and risk management.   Leverage your strong background in stochastic calculus and probability theory to develop robust models, and translate them into efficient, production-grade C++ code integrated into our core quantitative library. Collaborate across business lines, including Clearing, Exchange, and Data Services, while mentoring team members and driving innovation.   Responsibilities Quantitative Research: Lead research efforts in advanced pricing, volatility, and risk models. Model Implementation: Translate sophisticated mathematical models into robust, production-level code—primarily in C++. Collaboration :  Work across multiple business lines, ensuring models meet both research needs and operational demands. Knowledge and Experience Master’s or PhD...

Job Description: Job Purpose The Quantitative Analyst will join the Global Quantitative Research Group, which designs, implements, and supports enterprise quantitative models and systems. This role blends quantitative research and data science, focusing on model development, risk analytics, and large-scale data engineering. The primary responsibility is to drive quantitative model initiatives for clearing houses while supporting data-driven solutions across multiple business lines. The candidate must demonstrate strong quantitative and programming skills, deep understanding of financial derivatives, and the ability to manage complex data workflows. Frequent interaction with Risk Management, Technology, and Senior Management is expected.   Responsibilities Lead research and development of margin, stress testing, and risk management models for clearing houses. Perform quantitative risk analysis and develop solutions across multiple asset classes (interest rate, equity,...

We are looking for a mathematician with an advanced degree to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Applied Math and/or Computer Science. Benefits: * This is a full-time or part-time REMOTE position * You’ll be able to choose which projects you want to work on * You can work on your own schedule * Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities: * Give AI chatbots diverse and complex mathematics problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) *...