Cricket Quantitative Researcher (Sports Betting)

TL;DR

Quantitative Researcher (Sports Betting/Python): Developing statistical models to compute sports outcome probabilities for a sports betting hedge fund with an accent on probabilistic modeling and data extraction. Focus on building GLMs, BMMs, Kalman filters, and implementing the TrueSkill Ranking system.

Location: London, United Kingdom. No sponsorship provided

Salary: £80,000–£100,000

Company

A progressive sports betting hedge fund specializing in high-level sports modelling and quantitative research.

What you will do

• Develop statistical models to compute the probabilities of outcomes across various sports.
• Build and evolve probabilistic models that are central to the company's success.
• Find innovative ways to extract information from sporting and market data sources.
• Solve complex sporting questions within a highly skilled team of Quants.
• Work with advanced techniques including GLMs, BMMs, Kalman filters, MCMC, and the TrueSkill Ranking system.

Requirements

• Must have existing right to work in the UK; the role cannot sponsor visas.
• 3+ years of experience in the sports betting industry.
• Graduate or post-graduate degree in Statistics.
• Proficiency in Python (numpy, pandas) and TensorFlow.
• Electronic Trading experience.
• Strong academic record (Straight As at A level or equivalent).

Nice to have

• An interest in cricket.
• A Kaggle profile or other practical statistical experience.

Culture & Benefits

• Opportunity to rapidly progress a quantitative developer career.
• Environment designed to enable fast exploration and testing of alternative models.
• Collaboration with some of the brightest Quants within the industry.