2027 Quantitative Research Markets Associate Program – Off-Cycle Internship – London

Quantitative Trading & Research Markets – Off-Cycle Associate (JPMorgan Chase)

As an off-cycle associate in the Quantitative Trading & Research Markets team at JPMorgan Chase, you will join a quantitative modeling group focused on systematic trading, financial engineering, data analytics, statistical modeling, and portfolio optimization.

You will work closely with traders, sales, marketing, technologists, and risk managers across products and regions. You will support research and strategy deployment, client and sales engagement, product innovation, valuation and risk management, and inventory and portfolio optimization, including electronic trading and market-making activities. You will help build quantitative models, methodologies, and infrastructure to price, hedge, and trade financial products, advancing algorithmic trading and data-driven strategies such as statistical arbitrage.

About the Program

Our Global Markets teams develop sophisticated solutions to help clients manage risk, increase returns, and solve complex financial problems. You will be part of a dynamic team working on a wide range of interesting business issues.

Expert instructors and J.P. Morgan professionals will teach you about the organization’s history, scale, scope, and ambitious plans. The program provides technical and practical skills, hands-on experience, relevant skills training, and professional networking. Based on individual achievements, those who successfully complete the program may receive offers of full-time employment.

Job Responsibilities

• Develop and maintain mathematical models, cutting-edge algorithms, methodologies, and supporting infrastructure.
• Value and hedge financial transactions across a range of products, from flow products to complex derivative deals.
• 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.

Required Qualifications, Capabilities, and Skills

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

Preferred Qualifications, Capabilities, and Skills

• Knowledge of options pricing theory or trading algorithms, or a demonstrated interest in finance through coursework or prior experience.
• Confidence and initiative to take ownership and manage projects independently.
• Knowledge of machine learning and data science concepts, techniques, and tools.

About You

A strong interest in global financial markets is essential, along with analytical and quantitative skills, flexibility, teamwork, excellent attention to detail, and the ability to handle pressure while enjoying a collaborative environment. A strong focus on science or engineering in your undergraduate studies is important.

Beyond technical ability, the company is looking for personal qualities, outside interests, and achievements beyond academia that demonstrate the kind of person you are and the perspective you could bring to the team.

What’s Next?

Submit a complete and thoughtful application, including your resume. If you advance, you will receive an email invitation to complete a coding challenge through Hackerrank, followed by a self-recorded video assessment via HireVue. Both assessments are required for further review. Programs may close as positions are filled.

JPMorgan Chase is committed to creating an inclusive work environment and providing reasonable accommodations for applicants with disabilities.