Quant jobs / Point72

Research Technology Developer – Micro-Intern (IAP)

A short January internship with Cubist's Central Research Technology team, which builds the platforms used for researching and live-trading quantitative strategies. It is a chance to work on the tooling behind systematic trading.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build or improve tools in the shared research platform
Work on data science and machine-learning tooling, mostly open source
Write and test Python or C++ code with git and CI workflows
Possibly look at cloud, database or streaming components

What they ask for

Required

Undergraduate or graduate student in computer science or engineering
Significant Python and/or C++ experience
Basic Linux, git, conda and CI knowledge
Reasonable quantitative and statistical skills
Clear and proactive communication

Preferred

Cloud, databases, distributed or streaming compute
Finance experience

Education: Undergraduate or graduate student in computer science or engineering
Experience: Current students; short January internship
Languages and tools: Python
C++
Markets: equities, futures, fx

How to prepare

Publish a clean open-source Python or C++ project with tests and CI
Learn Linux, git, conda and reproducible environments properly
Try a small streaming or distributed compute project
Read about how quant research platforms handle data, backtests and experiment tracking

What to study

Apply

Read the full posting on Point72’s site before applying: requirements, location and pay can change after we check them.

View the posting on Point72’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Point72 and doesn’t handle applications.