Quant jobs / AQR

Engineering - Quant Research Development - GSS - Analyst

AQR’s research engineers build tools for systematic investing. The role develops data, signal and simulation systems alongside quantitative researchers.

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.

Extend signal and risk infrastructure.
Build research APIs.
Improve historical strategy simulations.

What they ask for

Required

Python
Software design
Analytical problem solving
Communication

Preferred

Cloud tools
Numerical libraries

Education: Bachelor’s degree or higher in computing, computational finance, data science or related study.
Experience: At least 3 relevant programming/development years.
Languages and tools: Python

How to prepare

Build a backtesting component.
Test a research-data API.
Profile signal calculations.

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 AQR’s site before applying: requirements, location and pay can change after we check them.

View the posting on AQR’s site ↗

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