You’ll build the infrastructure and workflows that power systematic and semi-systematic trading at scale, partnering closely with traders and researchers to turn ideas into measurable experiments. The systems you build will be critical to exploring new trading strategies, refining execution logic, and supporting advanced techniques including machine learning.
Requirements
- Build and scale high-performance backtesting and simulation infrastructure
- Design workflows that enable rapid experimentation and hypothesis testing
- Translate trading ideas into testable models, signals, and research pipelines
- Ensure realism and correctness in simulations (e.g., market microstructure, latency, data quality)
- Develop tools to analyze performance, explain behavior, and guide iteration
- Improve the speed, reliability, and usability of the research platform
- Own the full lifecycle from idea → backtest → analysis → production
Benefits
- Global profit-sharing pool and performance-based bonus structure
- 401(k) match up to 50%
- Comprehensive health, mental, dental, vision, disability, and life coverage
- 25 paid vacation days alongside market holidays
- Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more
