Jobs

Football Quant


Job details
  • Harrington Starr
  • London
  • 2 weeks ago
Applications closed

Football 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 to be considered.

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