Overview
In this role you will support a tech-driven quant research team focused on sports prediction models and high-frequency trading strategies. You will work with a small, collaborative group in a fast-paced, data-heavy environment and test hypotheses at scale. The position blends research with practical backtesting and live experimentation to improve client strategies. It offers a strong learning culture, ongoing training, and a clear path to growth within a global, innovative firm.
Pay / Benefits
- flexible working
- options from day 1
- excellent salary and benefits package
- ongoing training
- structured career path
- West London location
Responsibilities
- Build and refine sports prediction models
- Backtest and implement statistical arbitrage strategies
- Develop and enhance clients’ high-frequency strategies
- Analyze strategy performance and support trading desk decisions
- Contribute to experimentation workflows and data analysis
Key requirements
- Comp Ski, Maths, Stats or Engineering degree
- Strong background in probability and statistics
- Experience with modern machine learning methods (e.g., deep learning, Bayesian methods, graphical models)
- Programming experience in Python, Julia or R
- ambitious collaboration
- rapid learner
- strong communication
- Python
- Julia
- R
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