Quantitative Markets Research Associate: Off-Cycle

JPMorganChase; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorganChase invites applications for an off-cycle associate role within the Quantitative Trading & Research Markets team. You will contribute to a leading quantitative modeling group focused on systematic trading, data analytics, and portfolio optimization, collaborating with traders, technologists, and risk managers across regions.

The program emphasizes building models, pricing and hedging strategies, and advancing algorithmic trading through research and practical deployment, with potential

Qualifications

• Enrolled in a PhD program in mathematics, statistics, physics, engineering, computer science, data science, or machine learning.
• Graduating between September 2026 and March 2028.
• Demonstrates computer programming experience in Python, C++, or another language.
• Demonstrates analytical, quantitative, and problem‑solving skills.
• Demonstrates research skills through coursework, projects, or academic work.
• Works effectively in a dynamic, collaborative environment.
• Presents findings clearly to non‑technical audiences through written and verbal communication.

Responsibilities

• Develop and maintain mathematical models and cutting‑edge algorithms and supporting infrastructure.
• Value and hedge financial transactions across a range of products, from flow to complex derivatives.
• Support quantitative modeling and research that inform trading strategies and decision‑making.
• Collaborate with trading teams to translate research insights into practical market applications.
• Partner with quantitative researchers, technologists, traders, marketing, and risk managers across teams.
• Conduct alpha research, calibrate model parameters, and optimize pricing of financial instruments to support growth and market share.
• Manage risk in existing portfolios.

Job description

JPMorganChase invites applications for an off-cycle associate role within the Quantitative Trading & Research Markets team. You will contribute to a leading quantitative modeling group focused on systematic trading, data analytics, and portfolio optimization, collaborating with traders, technologists, and risk managers across regions.

The program emphasizes building models, pricing and hedging strategies, and advancing algorithmic trading through research and practical deployment, with potential