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

Summer Analyst, Quantitative Trading & Research Markets (JPMorganChase)

As a Summer Analyst in the Quantitative Trading & Research Markets team, 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, supporting 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.

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 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.

Preferred Qualifications, Capabilities, and Skills

• Demonstrates knowledge of options pricing theory or trading algorithms, or shows 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.

Locations You May Join

• New York Metro