2027 Quantitative Research – Markets – Summer Internship - Associate– United States

JPMorgan Chase & Co.•New York, NY

14h•Onsite

About The Position

As a Summer Associate 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. 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, 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.

Requirements

Enrolled in a PhD program in a relevant field (e.g., mathematics, statistics, physics, engineering, computer science, data science, or machine learning).
Graduating between December 2027 and August 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.
Attends a college or university in the United States.

Nice To Haves

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.
Possesses advanced proficiency in any programming language.

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.