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Quantitative Developer

Harrington Starr
London
5 days ago
Applications closed

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Quantitative Developer

Quantitative Developer

Quantitative Developer - Enterprise Data

Quantitative Developer - Up to £750 P/D - Outside IR35- Fully Remote

Quantitative Developer - Up to £750 P/D - Outside IR35- Fully Remote

Quantitative Developer - Up to £750 P/D - Outside IR35- Fully Remote

Lead Quant Developer – Prague, Czech Republic - 1 year working with team in Prague, then option to work remotely afterwards.

4–5 years’ experience | High Compensation | Relocation Costs Covered


Join a leading systematic trading firm with a strong presence across equities and futures. We’re looking for a hands-on Python Quant Developer to lead and expand the centralised back-testing and research infrastructure that powers all systematic strategies.


The Role

This position is ideal for someone who began their career as a software developer and has evolved into a quantitative developer, combining deep technical expertise with a strong grasp of trading logic.


You’ll take ownership of building and optimising back-testing frameworks, APIs, and algorithmic trading systems, ensuring the team’s research and execution capabilities remain best-in-class.

While the primary focus is on engineering and infrastructure, you’ll also contribute to strategy development and idea testing from time to time, collaborating closely with systematic traders.


Key Responsibilities

  • Lead the design and optimisation of back-testing and research infrastructure for systematic strategies
  • Build and maintain APIs and automation tooling to support trading and research workflows
  • Develop and scale robust systems for mid-frequency equities and futures trading
  • Collaborate with quants and traders to implement and refine algorithmic trading and bot systems
  • Contribute to occasional strategy research and prototype development
  • Manage and mentor junior developers, ensuring high coding and testing standards


Requirements

  • 4–5 years of Python development experience in trading, finance, or other data-heavy environments
  • Proven experience building back-testing systems, APIs, or automation pipelines
  • Strong understanding of data structures, algorithms, and software engineering best practices
  • Track record of designing scalable, production-grade systems
  • Excellent problem-solving, collaboration, and communication skills


Nice to Have

  • Experience with NumPy, Pandas, Cython, or Numba
  • Exposure to market microstructure, risk modelling, or quantitative research
  • Experience developing and maintaining live trading bots or algo execution systems
  • Background in mentoring or technical leadership within a quant or trading team


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