Quantitative Developer Intern

Point72New York, NY
Onsite

About The Position

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.

Requirements

  • 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 Unix environments and proficiency with shell scripting
  • Knowledge of version control using Git and experience with continuous integration and delivery tools and the software development lifecycle (SDLC)
  • Ability to take ownership of projects, work independently, and collaborate effectively within a small team
  • Availability to work fulltime onsite in New York from January to April 2027
  • Commitment to the highest ethical standards

Responsibilities

  • 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
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