INTERNSHIP DETAILS

Quantitative Developer Intern

CompanyPoint72
LocationNew York
Work ModeOn Site
PostedOctober 19, 2026
Internship Information
Core Responsibilities
The intern will assist in developing scalable quantitative equity trading signals and optimizing data infrastructure. They will work closely with researchers to build automated trading applications and real-time analytics.
Internship Type
full time
Company Size
3644
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
About the Role

JOB RESPONSIBILITIES

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 Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have a real impact.

You will gain exposure to a variety of activities, which may include:

  • Improving signal research and trading tools infrastructure
  • Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases
  • Working alongside quant researchers developing quant signals
  • Developing automated equities trading application and real-time analytics

DESIRABLE CANDIDATES

  • Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline, or current enrollment in a related undergraduate or graduate program
  • Strong programming experience in Python with production-level coding quality
  • Experience with containerization and orchestration technologies, particularly Docker
  • Experience with Unix environment and shell scripting
  • Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus
  • Knowledge of statistics and machine learning is a plus
  • Ability to take ownership of projects, work independently, and collaborate effectively within a small team
  • Prior experience in the financial services industry is a plus
  • Commitment to the highest ethical standards
Key Skills
PythonMachine LearningDockerUnixShell ScriptingSQLData ETLQuantitative AnalysisStatisticsCode OptimizationProfilingVisualVMAsync-profilerEquity TradingInfrastructure Development
Categories
TechnologyFinance & AccountingData & AnalyticsSoftwareScience & Research