Quant jobs / AQR Capital Management

Quant Research Development – Associate

A quantitative developer in AQR's research development team in Bengaluru, building systems that support systematic strategy research. It pairs directly with researchers and portfolio analysts.

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.

Build and extend signal, data and risk estimation infrastructure at large scale
Develop research APIs with cloud computing and visualisation
Improve the high-performance backtesting engine used to vet alpha ideas
Deliver bespoke technology for specific asset classes with global engineering colleagues

What they ask for

Required

Quantitative development experience
Python
Linux and Docker
Debugging and analytical skills
Communication
Interest in quantitative finance

Preferred

Financial services background

Education: BS, MS or PhD in computer science, computational finance, data science or similar.
Experience: 5+ years as a quantitative developer, preferably in financial services
Languages and tools: Python
Markets: equities

How to prepare

Containerise a Python research project with Docker on Linux
Build and benchmark a backtester on daily equity data
Study how signals, risk models and portfolios connect in a systematic process
Practise debugging and profiling long-running data jobs

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

View the posting on AQR Capital Management’s site ↗

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