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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
  • Python

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

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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