Quantitative Developer

Stanford Black Limited; Greater London; On-site; GBP 90,000 - 160,000; Full time

Job summary

Stanford Black Limited is seeking a senior software engineer to sit directly with quantitative researchers in London. You will transform mathematical ideas into production-ready software, embedded within a research-driven environment where technology is the core of the research process.

You will work on platforms for daily quant research, back-testing, simulations, and real-time tooling, building scalable systems with a track record of end-to-end delivery and strong academic credentials.

Qualifications

• Hands-on experience in Python, C++, or Rust (fluency)
• Strong grasp of algorithms, data structures and systems performance
• Track record of end-to-end software development
• Curiosity to explore ideas outside own discipline
• Strong academic background in a top-tier CS/Engineering/Math/Physics program
• 5+ years of experience

Responsibilities

• Work with quantitative researchers embedding engineering to turn ideas into production systems
• Develop research platforms and back-testing/simulation tooling
• Contribute to portfolio optimisation and real-time research tooling
• Productionise mathematical models from prototype to live trading
• Tackle distributed computing and large-scale compute infrastructure
• Engage in performance engineering at a high level

Skills

Python

C++

Rust

Algorithms

Distributed systems

Education

Top-tier CS/Engineering/Math/Physics degree

Job description

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