Quantitative Analyst
Role Overview
We are looking for a sports-focussed Quantitative Analyst that is keen to take the next step in their career and focus on building quantitative models for this sports analytics company.
Following the success of their team, they are looking to grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN.
This team works alongside the Data Scientists to build complex algorithms to support the mathematical and statistical problems.
What will you do?
- Design and build advanced statistical models for sports markets, deriving new products and enhancing existing offerings
- Own the full life cycle from concept, to research, through to productionisation and performance monitoring
- Collaborate closely with data scientists and quant researchers to tackle complex mathematical and statistical problems, sharing methods and continuing the culture of ongoing research
What do you need?
- Strong background in statistical and mathematical modelling. Ideally holding a PhD (or equivalent experience) in Physics, Mathematics, Statistics or a related discipline
- Working knowledge of Monte Carlo simulations, Bayesian methodologies or stochastic modelling
- Proficient in Python as your primary modelling tool; familiarity with PySpark, Hive, Docker or Kubernetes is advantageous but not essential
What's in it for you?
- Genuine scope to shape something new. This is a freshly created function, and you'll have real influence over how quantitative modelling is built and delivered within the business
- A clear 2–3 year+ roadmap with significant company investment behind it
- Annual learning and development budget
- Hybrid working from London, with flexible working hours
- Various other benefits, including a flexible allowance for you to use how you would prefer
- Regular pay reviews and promotion opportunities