Quant jobs / BlackRock

Associate, Quant Research – Systems Researcher (Systematic Active Equity)

A software-focused research role in BlackRock's systematic equity group, turning research ideas into robust code and computing systems. It works alongside quant researchers, data scientists and investors.

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.

Write algorithms and software used by systematic equity researchers
Build data-management pipelines for research datasets
Develop simulations and mathematical model code
Scale research workloads with distributed and GPU computing
Turn research prototypes into reliable production code

What they ask for

Required

Computer science degree (Bachelor's, Master's or PhD)
2+ years of applied experience
Python and pandas
Java or C/C++
Linux and UNIX
Distributed computing and GPUs
Serverless architecture

Preferred

Interest in cryptography and machine learning

Education: Bachelor's, Master's or PhD in computer science
Experience: 2+ years of applied software experience
Languages and tools: Python
pandas
Java
C
C++
Markets: equities

How to prepare

Build a distributed backtest runner with Python and a job queue
Practise GPU computing with a simple model training task
Learn Linux shell tooling and performance profiling
Read about systematic equity research workflows
Build a clean, tested data pipeline for price and fundamental data

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

View the posting on BlackRock’s site ↗

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