Software Engineer (Systematic Hedge Fund)

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Radley James
Screened
London
Posted 4 days ago
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About the role

Software Engineer – Java / Python



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London (On-site)


This is a hands-on software engineering role within a systematic hedge fund where technology sits at the core of the business. The systems you build directly support trading, research, and core operations, and your work will have real, measurable impact.


You’ll join a well-established engineering team and work across a range of internal systems, primarily in Java, with exposure to Python and quantitative tooling. The role offers end-to-end ownership: taking requirements from idea through to production, working closely with engineers and business stakeholders to solve practical problems.


The environment is fast-paced and collaborative, with a strong emphasis on clean engineering, learning by doing, and continuous improvement. No prior financial markets experience is require, training is provided.


What you’ll do:

  • Build and maintain production systems used across the firm
  • Develop features in Java, with opportunities to work in Python and MATLAB
  • Take ownership of work from concept through deployment
  • Collaborate with engineers and non-technical stakeholders to solve business problems
  • Learn how systematic trading strategies and financial markets operate in practice
  • Contribute to modern engineering practices including CI/CD, testing, and monitoring


What we’re looking for:

  • 3–5 years of professional software engineering experience
  • Strong Java development experience; xwzovoh Python experience or willingness to learn
  • Ability to communicate clearly and work effectively in a team environment
  • Background in banking front office technology or a high-calibre tech company is a plus
  • Computer Science education preferred but not essential


Nice to have:

  • Experience with Python or MATLAB
  • Exposure to AWS, Docker, or Kubernetes
  • Interest in financial markets and systematic trading
  • Curiosity about new technologies and best practices

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