Quantitative Developer Intern

Point72 is recruiting for Quantitative Developer Intern 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 Developer (QD) Career Roadmap, Quant Infrastructure Engineer Roadmap, Quantitative Data Engineer Career Roadmap and Algorithmic Trading Developer Career Roadmap.

The role, as Point72 describes it, published on August 17, 2026 and reproduced from their job board:

About the Team

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative developer interns for Winter 2027 (January to April). Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have a real impact.

WHAT YOU'LL DO

Build and enhance reliable, low-latency Java components such as messaging handlers and market data parsers within our equities trading platform

Design and implement new features to support trade execution workflows and help translate research signals into production trading logic

Optimize high-throughput data ETL pipelines, persistent and in-memory caches, and SQL databases to support real-time market data processing

Write robust unit and integration tests and automate testing to ensure system correctness under live market conditions

Improve research and trading tools and infrastructure, including monitoring, logging, and alerting for production systems

Participate in comprehensive, in-depth training and mentorship to deepen understanding of production trading systems and systematic strategies

Take ownership of projects from design to deployment, working both independently and as part of a small, fast-growing team to build solutions that can have real impact