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Quantitative Trading & Research - Rates - Vice President or Executive Director

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-11-02
Job specializations:
  • Finance & Banking
    Data Scientist, Capital Markets
Salary/Wage Range or Industry Benchmark: 120000 - 190000 GBP Yearly GBP 120000.00 190000.00 YEAR
Job Description & How to Apply Below

Push the limits of what’s possible in front-office quantitative research, where your models can directly shape rates trading performance. You’ll partner closely with trading stakeholders to deliver data-driven insights, scalable solutions, and disciplined risk controls. This is a hands-on role combining research depth with practical implementation, focused on impact from idea to production. You’ll also lead and develop a local team, setting direction, raising standards, and mentoring junior talent.

Job

summary

As a Vice President or an Executive Director in Rates Quantitative Trading and Research, you will lead front-office quantitative research that builds and evolves rates trading models with clear, measurable impact. You’ll work closely with trading partners to translate market opportunities into robust, production-ready solutions. You’ll balance innovation with disciplined financial risk controls and contribute to a strong risk culture. You will also manage and develop a local team, mentoring junior talent and setting a high bar for technical rigor and delivery.

Job

responsibilities
  • Develop pricing and risk models for the structured rates business to support product innovation and front-office decision-making.
  • Partner with Rates and Fixed Income Financing trading desksto translate new product ideas into robust model design, implementation, and controls.
  • Implement quantitative models and analytics in Python and/or C++, with a focus on performance, maintainability, and production readiness.
  • Produce clear model development documentation andengagemodel risk management partners to support effective review and approval.
  • Collaborate with technology partners to product ionize, scale, and improve the reliability of quantitative solutions for the business.
  • Automate trading workflows and model-driven processes to improve efficiency, controls, and scalability.
  • Analyze market and trading data to generate insights and research that informs quantitative trading strategy.
  • Leadand mentor a local team, setting direction and supporting the development of junior talent.
  • Serveas the local point of contact for theEMEAbusiness, coordinating priorities and delivery across stakeholders.
Required qualifications, capabilities and skills
  • Demonstrated expertise in quantitative finance and applied mathematics, including areas such as stochastic calculus, numerical methods, time series analysis, and optimization.
  • Strong programming capability in

    Python and/or C++, with evidence of delivering robust, maintainable research code.
  • Strong domain knowledgeofrates and interest rate derivatives, including pricing and risk concepts.
  • Demonstrated experience developing quantitative models end-to-end, from research through implementation and testing.
  • Experience producing clear model development documentation suitable for independent review.
  • Experience partnering with model risk management / governance stakeholders to support model review and approval.
  • Strong analytical and problem-solving skills, including the ability to use large datasets to generate actionable insights.
  • Strong communication skills, with the ability to explain quantitative topics clearly to trading and technology stakeholders.
  • Advanced degree(Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science, Quantitative Finance, or similar).
Preferred qualifications, capabilities and skills
  • Prior experience in a front-office quantitative research role within arates and/or fixed income financing trading environment.
  • Experience developing or supporting non-linear rates models(e.g., models relevant to structured rates products and exposures).
  • People leadership experience, including mentoring junior talent and supporting team development.
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