Off-Cycle Quantitative Research Intern Asset Management

JPMorgan Chase & Co.; Greater London; On-site; GBP 30,000 - 42,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Quantitative Research – Asset Management Off-Cycle Intern in London.

You will work at the intersection of investment science and technology, applying academic knowledge to portfolio construction and risk challenges while gaining hands-on experience with large client datasets. You will collaborate with portfolio managers and researchers, build robust models, and contribute to production-ready research infrastructure with potential full-time offers upon successful

Qualifications

• Enrolled in a Bachelor’s or Master’s degree with expected graduation 2026–2028.
• Strong programming skills in Python, C++, or Java.
• Analytical and quantitative problem-solving abilities.
• Excellent communication for technical and non-technical audiences.
• Interest in investing, markets, and quantitative research.
• Ability to thrive in a fast-paced, collaborative environment.

Responsibilities

• Apply quantitative investing and data science methods to research across asset classes.
• Analyze structured and alternative data to identify return drivers and insights.
• Collaborate with portfolio managers to translate research into strategies.
• Design backtests and validation frameworks; assess portfolio-level risk.
• Implement research in production-quality code and maintain tools.
• Contribute to solutions for institutional and client needs worldwide.
• Develop and validate mathematical models used in portfolio management.

Skills

Python

C++

Java

Education

Bachelor's or Master's degree in mathematics, statistics, physics, engineering, computer science, economics, finance, or data science/machine learning

Tools

R

MATLAB

SQL

Tableau

Power BI

Job description

JPMorgan Chase & Co. is seeking a Quantitative Research – Asset Management Off-Cycle Intern in London.

You will work at the intersection of investment science and technology, applying academic knowledge to portfolio construction and risk challenges while gaining hands-on experience with large client datasets. You will collaborate with portfolio managers and researchers, build robust models, and contribute to production-ready research infrastructure with potential full-time offers upon successful