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
Reach out now - lucia.paolinelli@harringtonstarr.com