Quant jobs / WorldQuant
Quantitative Python Developer
A developer role in a business-embedded tech team building data pipelines and frameworks for strategy and performance analytics. It works closely with researchers and technologists.
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 complex data pipelines for strategy analytics
- Develop frameworks for performance analytics
- Pick up domain knowledge quickly from researchers
- Apply sound design and implementation practice
What they ask for
Required
- 5+ years as a developer
- Data structures, algorithms and maths
- Python on Linux/Unix
- Data processing tools: numpy, pandas, Airflow, Kubernetes
- Communication
Preferred
- Finance experience
- Education
- Not stated
- Experience
- 5+ years of hands-on development
- Languages and tools
How to prepare
- Build an Airflow pipeline that computes strategy performance metrics
- Practise vectorised pandas and numpy on large datasets
- Learn Kubernetes and container basics
- Read about performance attribution and strategy analytics
What to study
- Quantitative Data Engineering
- Python for Quantitative Finance
- Python and Data Primer
- Professional Quant Practice
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.
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