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

As an off-cycle analyst in the   Quantitative Trading & Research Markets   team at   JPMorganChase, you will join a leading 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. We hold leadership positions across all major financial markets worldwide. This means you'll 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 our history, scale, and scope of our organization today and our ambitious plans for tomorrow. We’ll teach 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 skills training and valuable professional networking. Based on your individual achievements, those who successfully complete the program may receive offers of full-time employment.

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.

At JPMorganChase, we’re creating 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 the way as you build your career. If you’re passionate, curious and ready to make an impact, we’re looking for you.

A strong interest in global financial markets