Summer 2027 Quantitative Research Internship

Point72 is recruiting for Summer 2027 Quantitative Research Internship in New York. This listing was last seen on the firm's own job board on August 22, 2026.

A multi-manager fund whose academy programmes are the clearest structured entry route on the buy side.

What sets Point72 apart: Academy programmes that take candidates with no prior finance experience. Discretionary and systematic sides hire on different criteria. Cubist is the systematic arm and runs its own quant process.

Related preparation: Quantitative Researcher (QR) Career Roadmap, Machine Learning Quant Career Roadmap, Quant Strategist (Desk Quant) Career Roadmap, Quant Data Scientist (Alternative Data) Roadmap, Quant Research Ops (MLOps) Roadmap and Financial Data Scientist Career Roadmap.

The role, as Point72 describes it, published on August 15, 2024 and reproduced from their job board:

Please send CVs to KEPL-talent@cubistsystematic.com with “2027 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist.

About Our Firm:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Our Team:

KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Role / Experience:

We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027. An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities.

Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship.

Requirements:

PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields

Strong knowledge of computational math, probability, and statistics