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Quantitative Developer Intern

Exceptional students joining the team for Summer 2027 to develop scalable quantitative equity trading signals using machine learning and rigorous research.

  • New York, New York, United States
  • Internship
  • On-site
  • Posted Aug 23, 2024
INDUSTRYFinance & AccountingInvestment & TradingSaaS & Enterprise Software

Responsibilities

  • 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

Requirements

  • Undergraduate or higher degree in computer science
  • machine learning
  • quantitative discipline
  • related undergraduate or graduate program enrollment
  • Experience in a financial services

Nice to have: profiling (e.g. VisualVM, async-profiler), code optimization, statistics, machine learning, financial services industry

Skills

PythonDockerUnix environmentshell scriptingPythonDockerSQLVisualVMasync-profiler

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Full description

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

Quantitative Developer Intern at Point72 | Referso Jobs