Quant Developer: CVA/FVA Monte Carlo & Trading Research

JPMorgan Chase & Co.

Greater London

On-site

GBP 100,000 - 180,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in London seeks an Associate or Vice President to join the Quantitative Trading & Research team. The role focuses on developing analytics for the Credit Portfolio Group and building production-grade, scalable software solutions.

Ideal candidates have a hands-on software engineering background with strong Python skills and a quantitative mindset, collaborating with traders, marketers, and risk managers across regions to deliver high-impact analytical tools.

Qualifications

  • Hands-on experience building and shipping software in engineering or quantitative roles.
  • Degree in a quantitative or engineering field.
  • Strong Python programming skills with production-grade systems.
  • Ability to design and implement scalable analytical tools.
  • Excellent communication and collaboration with stakeholders.

Responsibilities

  • Design, develop, and enhance large-scale Monte Carlo simulations for CVA and FVA across derivatives portfolios.
  • Implement advanced numerical techniques to improve efficiency and accuracy of risk sensitivities.
  • Contribute to transforming the bank into a data-driven business through scalable analytical tools and infrastructure.
  • Collaborate with technology teams to ensure code robustness, performance, and maintainability in production environments.
  • Partner with traders, marketers, and risk managers to deliver analytical solutions meeting business needs.
  • Drive best practices in quantitative research and software development.

Skills

Python programming
Production-grade software
Quantitative/software engineering
Architecture & design
Stakeholder collaboration

Education

Bachelor's or Master’s in Computer Science, Engineering, Mathematics, or Physics

Job description

JPMorgan Chase & Co. in London seeks an Associate or Vice President to join the Quantitative Trading & Research team. The role focuses on developing analytics for the Credit Portfolio Group and building production-grade, scalable software solutions.

Ideal candidates have a hands-on software engineering background with strong Python skills and a quantitative mindset, collaborating with traders, marketers, and risk managers across regions to deliver high-impact analytical tools.

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