Quant jobs / Point72

Quantitative Developer

A developer role in Point72's Internal Alpha Capture group, which builds machine-learning-driven equity trading signals. You would build the applications and data tooling that sit between quant researchers and live 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.

Maintain and speed up ETL pipelines that feed signal research
Build real-time analytics and automated equity trading applications
Tune caches and SQL databases so researchers get data faster
Improve the tooling researchers use to test and deploy signals
Profile slow production code and fix bottlenecks

What they ask for

Required

Production-quality Python
Docker and container orchestration
Unix and shell scripting
SQL databases and ETL
Experience at a hedge fund, bank or trading firm

Preferred

Profiling and code optimisation
Statistics and machine learning
Financial services background

Education: Undergraduate or higher degree in computer science, machine learning or another quantitative discipline.
Experience: 5+ years at a hedge fund, investment bank or quantitative trading firm.
Languages and tools: Python
SQL
Bash
Docker
Markets: equities

How to prepare

Build a small ETL pipeline in Python with tests and containerise it with Docker
Practise profiling Python code and rewriting hot spots
Learn how caches and SQL indexes affect query latency
Read about how equity alpha signals are researched and deployed

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.