Sports Quant

Job Description

Sports Quant

4 days onsite, 1 day wfh

About the Role

My client is seeking a Football 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

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