Requirements

• Strong Python development skills.
• Experience building simulation, backtesting or other large-scale computational frameworks.
• Experience designing and building large-scale, distributed or real-time systems.
• Experience using Python in research, data-intensive or analytical environments.
• Strong software engineering fundamentals and an interest in writing reliable, maintainable production code.

Nice to Haves

• Experience with C++, particularly for performance-critical systems.
• Experience building data pipelines using technologies such as Spark, Polars, or Airflow.
• Familiarity with cloud infrastructure or distributed compute platforms.
• An interest in quantitative finance or systematic trading.

What you'll be doing

• Developing and extending the simulation framework used to research and run systematic cash equities strategies across ETFs and stocks.
• Building distributed systems that scale backtesting and model training across cloud and on-premise compute environments.
• Curating high-quality research datasets by combining live and historical market data into accurate, reproducible, and scalable inputs for large-scale experimentation.
• Working directly with researchers to understand new requirements and translate them into robust, production-ready software.
• Improving the tools and workflows that allow researchers to experiment, validate ideas, and deploy strategies efficiently.
• Applying modern AI tools where they add value across the research and software development lifecycle.

Perks and Benefits

• A performance-based bonus structure unmatched anywhere in the industry.
• The opportunity to work alongside best-in-class professionals from over 50 different countries.
• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
• Extensive office perks, including breakfast, lunch, and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
• Training and continuous learning opportunities, including access to conferences and tech events.
• Competitive relocation packages and visa sponsorship where necessary for expats.