Drimva

Point72 / Cubist

Quantitative Developer Intern

New York +1 · Internship · Posted Aug 23, 2024

Location
New York
New York, New York, United States
Education
Undergraduate or higher degree in computer science, machine learning, or another quantitative discipline, or current enrollment in a related undergraduate or graduate program.

About the job

Develop quantitative equity trading signals and improve research, data, and trading infrastructure alongside quant researchers.

What you'll do

  • Improve signal research and trading tools infrastructure; optimize ETL pipelines, caches, and SQL databases.
  • Work with quant researchers to develop quantitative signals.
  • Develop automated equities trading applications and real-time analytics.

What they ask for

  • Strong Python programming experience with production-level coding quality.
  • Ability to take ownership, work independently, and collaborate effectively within a small team.
  • Commitment to the highest ethical standards.

Nice to have

  • Experience with containerization and orchestration technologies, particularly Docker; Unix and shell scripting.
  • Knowledge of profiling and code optimization, statistics and machine learning, or prior financial services experience.

Tools

Python, Docker, Unix, VisualVM, async-profiler, SQL

AI focus

The team develops quantitative equity trading signals using machine learning methods; the intern may work alongside researchers developing signals.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)