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
* 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 luica.paolinelli@harringtonstarr.com to be considered.