Quant jobs / AQR Capital Management

Quant Research Engineer, Global Stock Selection – Analyst

A developer role in AQR's quantitative research development group, building the tools that researchers use to test and run equity strategies. It is based in the Bengaluru office and works with a global team.

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 the infrastructure that stores and serves signals, data and risk estimates
Build research APIs and visualisations on cloud computing
Improve the historical simulation and backtesting engine
Build tailored tooling for particular asset classes and research needs

What they ask for

Required

Python programming
Databases
Software design and clean code
Analytical problem solving
Communication
Interest in quantitative finance

Preferred

NumPy and pandas
Cloud (e.g. AWS)
Open-source contributions
Aptitude for maths and econometrics

Education: BS/MS in computer science, computational finance, data science or a related field.
Experience: 3+ years as a programmer, strong in Python; no finance experience required
Languages and tools: Python
SQL
Markets: equities

How to prepare

Write a small vectorised backtesting engine in Python with pandas
Design a database schema for prices, signals and risk estimates
Build a simple research API that serves factor data
Learn basic equity factor concepts so you understand what researchers need

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.