Quantitative Developer

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

45 years experience | High Compensation | Relocation Costs Covered

Join a leading systematic trading firm with a strong presence across equities and futures. Were 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.

Youll take ownership of building and optimising back-testing frameworks , APIs , and algorithmic trading systems , ensuring the teams research and execution capabilities remain best-in-class.

While the primary focus is on engineering and infrastructure, youll 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

• 45 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

Reach out now - lucia.paolinelli@harringtonstarr.com