Quant jobs / WorldQuant

Quantitative Developer

A software engineering role building the core systems behind WorldQuant's quant strategies. The team uses AI tooling heavily and works with researchers.

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 data pipelines and the data layer
Maintain the computational frameworks that run strategies at scale
Develop software for research, portfolio construction and trading
Build AI-powered tooling such as agents and copilots

What they ask for

Required

3-8 years in software engineering
Python (preferred) or C++ on Linux/Unix
Version control and CI/CD
Degree in a technical or quantitative field
Communication and problem solving

Preferred

LLM and agentic AI experience
Finance experience

Education: Degree in a technical or quantitative discipline from a top institution
Experience: 3-8 years in software engineering
Languages and tools: Python
C++

How to prepare

Build a data pipeline with scheduling and tests in Python
Learn how a backtesting and research stack fits together
Practise CI/CD on a personal project
Try building a small LLM-based tool for a research workflow

What to study

Apply

Read the full posting on WorldQuant’s site before applying: requirements, location and pay can change after we check them.

View the posting on WorldQuant’s site ↗

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