Quant jobs / Point72

Quantitative Researcher Intern

A research internship in Point72's Internal Alpha Capture group, running across Fall 2026, Spring 2027 and Summer 2027. Interns work on machine-learning-based equity signals.

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.

Take a signal idea from concept through backtest
Extract predictive features from very large data sets
Adapt machine learning methods from the literature to market data
Support the team's research infrastructure

What they ask for

Required

Masters or PhD candidate in a quantitative field
Machine learning research on noisy data
Python or C++
Linux
Written and verbal communication

Education: Masters or PhD candidates in machine learning, computer science, finance, maths or similar.
Experience: Students; finance experience not required.
Languages and tools: Python
C++
Markets: equities

How to prepare

Complete a machine learning project on a noisy, large data set
Learn why financial data breaks standard ML assumptions
Build a backtest of an ML-driven signal
Get fluent in Linux and Python tooling

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

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.