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Quant jobs / Graham Capital Management

Quantitative Trading and Research Operations Developer

An early-career developer role supporting the quantitative strategies department of a global macro fund. You maintain, refactor and test the code used in research and trading.

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.

  • Refactor legacy research and trading programmes for reliability
  • Write test cases that catch errors before release
  • Support the tools and systems researchers use daily
  • Work on build, deployment and containerisation improvements
  • Take part in formal code review with a quality committee

What they ask for

Required

  • Bachelor's in computer science or similar
  • Strong Python
  • Program design and refactoring
  • CI/CD knowledge
  • Unix command line and Git
  • PowerShell familiarity
  • SQL familiarity

Preferred

  • Cybersecurity coursework
  • Cloud compute and infrastructure design
  • R, MATLAB and test-case writing
Education
Bachelor's in computer science or a related field
Experience
Early-career developer
Languages and tools
  • Python
  • SQL
  • PowerShell
  • R
  • MATLAB

How to prepare

  • Refactor a messy research script into tested modules
  • Set up a CI pipeline that runs unit tests on commit
  • Practise Unix shell work and Git workflows
  • Learn basic container use for reproducible research environments

What to study

Apply

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

View the posting on Graham Capital Management’s site ↗

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

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