Quantitative Research Markets Analyst Program – Off-Cycle Internship

As an off-cycle analyst in the Quantitative Trading & Research Marketsteam atJPMorgan

Chase, you will join a leading quantitativemodelinggroup 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.

Our Global Markets teams develop sophisticated solutions to help clients manage risk, increasereturnsand solve complex financial problems. We hold leadership positions across all major financial markets worldwide. This meansyou'llbe 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 our history, scale, and scope of our organization today and our ambitious plans for tomorrow.

We’llteach you 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 skillstrainingand valuable professional networking. Based on your individual achievements, those who successfully complete the program may receive offers of full-time employment.

• Developandmaintainmathematical models and cutting-edgealgorithms, methodologies, and supporting infrastructure.
• Valueandhedgefinancial transactions across a range of products, fromflowproducts to complex derivative deals.
• Support quantitative modeling and research thatinformtrading 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.
• Managrisk in existing portfolios.

• Enrolledin a Bachelor’s or Master’sprogram 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 academicwork).
• Works effectively in a dynamic, collaborative environment.
• Presents findings clearly to non-technical audiences through written and verbal communication.

• 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.

AtJPMorgan

Chase,we'recreating positive change for the diverse communities we serve. We do this by championing your innovative ideas through a supportive culture that helps you every step of theway asyou build your career. Ifyou'repassionate,curious and ready to make an…