2027 Quantitative Research – Asset Management – Summer Internship – Analyst - United States

JPMorgan Chase is a leading global financial services firm, and they are seeking a Quantitative Research – Asset Management Summer Analyst. In this role, you will work at the intersection of investment science and technology, applying academic knowledge to real-world challenges while collaborating with portfolio managers and research teams.

What you'll do:

• Apply quantitative investing and data science methods—such as factor modeling, optimization, and machine learning—to research problems across asset classes and datasets
• Analyze structured and alternative data to identify patterns, return drivers, and portfolio construction insights
• Partner with portfolio managers, traders, and other investment professionals to translate research into actionable investment strategies and client solutions
• Design robust backtests and validation frameworks; assess strategy performance, stability, and risk implications at the portfolio level
• Implement research in production-quality code; maintain and enhance research infrastructure and investment/trading tools
• Contribute to solutions that serve institutional, wealth, corporate, government, not-for-profit, and individual clients worldwide
• Develop, validate, and enhance mathematical models and algorithms used in portfolio management and asset allocation

What they're looking for:

• Enrolled in a Bachelor's or Master's degree in mathematics, statistics, physics, engineering, computer science, economics, finance, or data science/machine learning, graduating between December 2027 and August 2028
• Proficiency in Python, C++, or Java
• Attending a college/university in the U.S
• Strong analytical, quantitative, and problem-solving skills
• Excellent communication skills for presenting complex concepts to both technical and non-technical audiences
• Interest in investing, portfolio analytics, global markets, and quantitative research
• Ability to thrive in a fast-paced, collaborative environment
• Genuine interest in financial markets, investing, portfolio construction, and macro-level economics
• Coursework or project experience in time-series analysis, optimization, or statistical learning
• Experience with R, MATLAB, or SQL
• Familiarity with data visualization tools like Tableau or Power BI
• Understanding of asset management products (mutual funds, ETFs, separately managed accounts), financial instruments, and market dynamics