Quantitative Analyst (Sports Betting)

TL;DR

Quantitative Analyst (Sports Betting): Developing and managing proprietary sports betting prediction and risk management models with an accent on Bayesian statistics, MCMC, GLMs, and machine learning. Focus on building scalable models, analyzing large datasets, and improving betting market predictions.

Location: Hybrid with option to work remotely up to 4 days a week, based in Hammersmith, United Kingdom

Salary: £70,000–£85,000

Company

Leading provider of sports betting brokerage software based in London offering flexible working hours and a relaxed environment.

What you will do

• Build and improve sports prediction models using advanced statistical and ML techniques
• Analyze, clean, and process large raw datasets
• Develop and maintain ML and statistical models for risk management
• Perform data analysis and inference to understand betting markets and customer behavior
• Collaborate with a small team using modern open-source tools like Jupyter, PyTorch, and Spark

Requirements

• Location: Based in or near London with hybrid work and remote options
• 3 years experience as a quantitative analyst or data scientist in sports betting
• Mathematics-based degree from a top university
• Expertise in Bayesian statistics, MCMC, GLMs, and sports models literature
• Proficient in SQL and Python or R
• Experience building and delivering ML and statistical models
• English: B2 level or higher required