Quantitative Developer

Turn cutting-edge research into code that trades billions.

This isn't a "build the backend for a trading desk" role.

You'll sit embedded directly with quantitative researchers: the engineering partner who takes a mathematical idea from whiteboard to production, at a firm where technology is the research process, not a support function for it.

What you could be working on

• Research platforms used daily by some of the best quant researchers in the industry
• Back-testing and simulation frameworks processing enormous, complex datasets
• Portfolio optimisation and real-time research tooling
• Productionising mathematical models - from prototype to live trading
• Distributed computing and large-scale compute infrastructure
• Performance engineering at a level most engineers never get to touch

What we're looking for

• Deep, hands-on experience in Python, C++, or Rust. Fluency, not just familiarity
• Strong grasp of algorithms, data structures, and systems performance
• A track record of building serious software end-to-end
• Curiosity that extends outside your own discipline - you read papers outside "your" field and ask "could this apply here?"
• A strong academic background from a top-tier Computer Science, Engineering, Mathematics, or Physics programme.
• 5+ years experience

You might currently be at:

a top prop trading firm, hedge fund, Big Tech, an AI research lab, a scientific computing group, or a high-performance/distributed-systems team.

Why this is different

• You work with the research, not downstream of it
• Proper technical ownership from day one - no multi-year ladder before your ideas matter
• Problems at a scale and difficulty most engineering roles never offer
• Elite peer group - some of the strongest researchers and engineers in the industry