Quant jobs / AQR Capital Management

Research & Portfolio Management Engineering – Associate

A mid-level software engineer in AQR's research development group supporting Global Stock Selection. It owns pipelines and platforms that support signal generation and model construction.

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 AWS-based storage and compute for research
Improve the data ingestion and validation engine
Maintain model computation and signal generation pipelines
Build AI and LLM-based tools for researchers

What they ask for

Required

Python
Production software experience
Linux
Cloud-native applications (AWS)
Distributed systems
SQL at scale
LLM and AI-agent experience

Preferred

C++
Quant research or ML platform experience
Signal generation or trading systems familiarity

Education: Bachelor's or Master's in computer science, engineering, maths or a related field.
Experience: 3–5 years of professional software engineering
Languages and tools: Python
C++
SQL
Markets: equities

How to prepare

Build a distributed data pipeline with monitoring and tests
Design a schema and queries for high-volume time-series data
Prototype an AI agent workflow for research data tasks
Study how signals flow into portfolio construction

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.