Quantitative Trading & Research VP: Indices & Risk

Testing Site - JPMC; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

J.P. Morgan's Quantitative Trading & Research (QTR) team in New York seeks an Associate or Vice President to own the implementation, deployment, and risk management of investable indices (QIS).

You will work with Trading, Structuring, and Technology to build risk platforms, automate workflows, and support cross‑asset strategies across equities, rates, commodities, and FX. A strong Python background, advanced quantitative training, and disciplined software engineering are essential to deliver

Qualifications

• Advanced degree (Master’s or PhD) in Mathematics, CS, Physics, Engineering, or equivalent.
• Minimum of 2 years of professional experience in finance.
• Proven experience with quantitative investment strategies and cross-asset exposure.
• Strong Python programming background.
• Solid understanding of financial risk and mathematical modelling.

Responsibilities

• Develop, deploy, and support risk management platforms for investable indices.
• Build infrastructure to support new product offerings and improve controls.
• Provide tooling and support to trading teams through risk analysis.
• Deliver end-to-end automation of trading workflows and risk management.
• Collaborate with technology and business partners in multiple regions.

Skills

Python proficiency

Quantitative investment

Cross-asset experience

Trading systems

Analytical skills

Communication

Education

Master’s or PhD in quantitative field

Tools

Python

Job description

J.P. Morgan's Quantitative Trading & Research (QTR) team in New York seeks an Associate or Vice President to own the implementation, deployment, and risk management of investable indices (QIS).

You will work with Trading, Structuring, and Technology to build risk platforms, automate workflows, and support cross‑asset strategies across equities, rates, commodities, and FX. A strong Python background, advanced quantitative training, and disciplined software engineering are essential to deliver