Harrington Starr Quantitative Analyst - Football

Quantitative Analyst

4 days onsite, 1 day wfh

About the Role

My client is seeking a Quantitative Analyst to join their prediction team. You will use extensive datasets to enhance predictive models, explore new methodologies, and develop solutions. This role involves a blend of in-depth analysis and innovative modelling to tackle unique challenges in sports analytics. You will be joining a collaborative team of data scientists and sports analysts, as well as having the freedom to explore and develop individual ideas.

Requirements

• 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries.
• Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting.
• Strong programming skills, particularly in Python.
• Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively.

Preferred Qualifications

• Understanding of expected value and utility principles.
• Practical problem-solving approach, balancing detail with quick delivery of MVPs.
• Ability to independently deliver projects and make informed decisions

What you'll get

• Generous annual leave (including bank holidays)
• Competitive pension contributions
• Health and well-being benefits
• Subsidised gym membership and meals
• Learning and development budgets
• Regular sports activities with colleagues

Interested? Apply to this role or send your CV directly to to be considered.