Quant jobs / Point72

Quantitative Developer Intern – Summer 2027

A summer 2027 internship in Point72's Internal Alpha Capture team, which develops equity trading signals using machine learning. Interns help build the infrastructure around signal research and 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.

Improve tooling used to research and ship trading signals
Optimise data ETL pipelines and SQL or in-memory data stores
Help build real-time analytics for equity trading
Work with researchers to turn prototype signals into dependable code

What they ask for

Required

Strong Python with production-quality habits
Docker and orchestration basics
Unix and shell scripting
Degree or current enrolment in a quantitative or computing subject

Preferred

Profiling and code optimisation
Statistics and machine learning
Financial services exposure

Education: Undergraduate or higher degree, or current enrolment, in computer science, machine learning or a related quantitative programme.
Experience: Students; no prior experience stated.
Languages and tools: Python
SQL
Bash
Docker
Markets: equities

How to prepare

Write a well-tested Python package and containerise it
Build a small data pipeline that loads and cleans market data into SQL
Get comfortable on the Linux command line
Learn basic statistics and a first machine learning workflow

What to study

The HFT Quant Developer 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.