Quantitative Research Markets Analyst Program – Off-Cycle Internship

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

Job Summary

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, helping to solve a wide range of interesting business issues and will be challenged in your work every day.

Expert instructors and J.P. Morgan professionals will teach you about the organization's history, scale, and scope, and its ambitious plans for tomorrow. You will learn technical and practical skills that will help you hit the ground running.

The program is an opportunity to take your career to the next level through hands-on experience, relevant skills training, and valuable 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 and 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 Bachelor’s or Master’s program in a relevant field (e.g., mathematics, statistics, physics, engineering, computer science, data science, or machine learning).
• Graduating between September 2026 to March 2028.
• Demonstrates computer programming experience (e.g., Python, C++, or another programming 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.

Preferred Qualifications, Capabilities and Skills

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

About You

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

Beyond that, what we’re most interested in are the things that make you, you: the 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. Complete all relevant application questions.

If advanced to the next step, you’ll receive an email invitation to complete a coding challenge through Hackerrank, followed by a self-recorded video assessment via HireVue. Both assessments are required. Applications will not be considered for further review until both are completed. We strongly encourage applying and completing these required elements as soon as possible, since programs will close as positions are filled.