The client's fast-paced trading team is looking to solve the problem of turning data into strategy and prototypes into production-ready tools.
Requirements
- Fluent in Python with a solid understanding of modern programming practices and object-oriented design
- Demonstrated ability to conduct empirical research and build machine learning or statistical models from raw data
- Familiarity with optimizing and testing latency-sensitive algorithms in a Linux-based production setting
- Exposure to order book dynamics and statistical modeling related to limit order book trading
- Experience working with SQL databases and APIs to support real-time data needs and model integration
Responsibilities
- Design and test statistical or predictive algorithms using diverse datasets
- Own the research pipeline end-to-end—from ideation and method selection to validation, backtesting, and live performance tracking
- Ensure the quality and integrity of large data sources, identifying anomalies and cleaning as needed
- Explore new data sources for potential signal generation
- Translate research insights into robust Python-based implementations
- Contribute to the ongoing improvement of the trading infrastructure and provide support for operational enhancements
- Jump into ad hoc tasks and new initiatives as priorities shift
Other
- An advanced degree (Master’s or higher) in a quantitative field like Mathematics, Computer Science, or a closely related discipline
- Minimum 3 years of hands-on experience in a similar capacity
- Dependable work habits and consistent availability
