Quantitative Analyst

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Quantitative Analyst – Sports betting - London

Option to work from home up to 4 days a week or fully remote.

Quantitative Analyst is required for one of the leading providers of sports betting brokerage software in the world. The company is based in London and offers flexible working hours. The successful candidate will be joining the team who is responsible for developing and managing a range of proprietary models and algorithms that run at the heart of the bet-placement platform. You will be part of a small team, working in a relaxed environment, and using a range of modern open-source tools like Jupyter, PyTorch and Spark. You will be working with terabytes of data, and will be part of a team that can quickly run experiments at scale in the markets, allowing the company to test their hypotheses in a live environment.

• 3 years’ experience as a quantitative analyst or data scientist in sports betting
• A mathematics-based degree from a top university
• Expertise in Bayesian statistics, MCMC, and GLMs
• Knowledge of sports models literature
• Proficient in SQL and Python/R
• Demonstrated experience building and delivering ML and statistical models

• Your day-to-day duties and responsibilities will include, but won’t be limited to building and improving sports prediction models
• Analysing, cleaning, and processing raw data
• Developing, improving, and maintaining ML and statistical models for risk management
• Analyse data and perform inferences to understand betting markets and customers behaviour

• Opportunities to progress your quantitative developer career
• Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system
• Working with some of the brightest Quants within the industry.