Quantitative Developer Intern
finance:systematicquant-researchIC2Quant Management
Compensation
Not disclosed
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
WHAT'S REQUIRED
Undergraduate or higher degree in computer science, machine learning, or another quantitative discipline, or current enrollment in a related undergraduate or graduate program
Strong programming experience in Java with production-level coding quality and object-oriented design skills
Experience with containerization and orchestration technologies, particularly Docker
Experience working in U