We’re looking for a technically sharp, self-driven Quant Developer to join our client’s fast-paced trading team. This role involves hands-on research, model development, and system integration—ideal for someone who thrives on turning data into strategy and prototypes into production-ready tools.
What You’ll Be Doing
- 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
What We’re Looking For
- 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
- 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
- Dependable work habits and consistent availability
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