Quant jobs / AQR Capital Management

Research & Portfolio Management Engineering – Analyst

An early-career software engineer in AQR's research development group supporting equity stock selection. It builds the platforms and pipelines behind signal generation and portfolio 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 the cloud storage and compute infrastructure for research
Improve data ingestion and validation pipelines
Maintain the model computation and signal generation pipeline
Build tools that use LLMs and AI agents inside research workflows

What they ask for

Required

Python
Linux development
Cloud-native applications (AWS)
Distributed systems and large-scale data
SQL
Hands-on LLM or AI-agent work
Software engineering fundamentals

Preferred

C++
Quant research or ML platform exposure
Familiarity with signal generation or portfolio construction

Education: Bachelor's or Master's in computer science, engineering, maths or a related field.
Experience: 0–5 years of professional software engineering
Languages and tools: Python
C++
SQL
Markets: equities

How to prepare

Build a small data pipeline on AWS with tests and validation
Write SQL against large structured datasets and tune the queries
Prototype an LLM-assisted workflow with sensible failure handling
Learn what a signal, a risk model and an optimiser do in a systematic equity process

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.