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oracle

Quantitative Trading & Research – EMEA Rates Exotics – Vice President or Executive Director

JPMorgan Chase
London, GBR
Full-time
Executive
Onsite
Discovered 1 weeks ago
python

Full Job Posting

Job responsibilities

  • Develop pricing and risk models for the structured rates business to support product innovation and front-office decision-making.
  • Partner with Rates Exotics trading desks to 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 and engage model risk management partners to support effective review and approval.
  • Collaborate with technology partners to productionize, 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.
  • Serve as the point of contact for the EMEA Rates Exotics business, coordinating priorities and delivery across stakeholders.
  • 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 knowledge of rates 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).
  • Prior experience in a front-office quantitative research role within a rates trading environment.
  • Experience developing or supporting non-linear rates models.
  • People leadership experience, including mentoring junior talent and supporting team development.

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 knowledge of rates 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 a rates trading environment.
  • Experience developing or supporting non-linear rates models.
  • People leadership experience, including mentoring junior talent and supporting team development.

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