Quant jobs / Point72

Quantitative Research Intern

An internship for students of advanced data modelling and statistical learning, applying those methods to market prediction and systematic trading at Point72.

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.

Validate, clean and normalise very large data sets
Reduce dimensions for model estimation
Run event studies on market data
Find features and relationships that help predict market behaviour

What they ask for

Required

MS or PhD candidate in a quantitative field
Programming in C++, Java, C#, MATLAB, R, Python or Perl
Strong analytical skills
Interest in markets and systematic trading

Education: MS or PhD candidates in finance, computer science, maths, physics or another quantitative discipline.
Experience: Students; no professional experience stated.
Languages and tools: C++
Java
C#
MATLAB
R
Python
Perl

How to prepare

Practise data cleaning and normalisation on a large market data set
Learn dimensionality reduction such as PCA
Run a small event study and test its significance
Review core statistical learning methods

What to study

The Quantitative 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.