Quantitative Analyst (Football)

Quantitative Analyst required by a Football data and betting company based in central London. The company has been established for more than 10 years, successfully developing statistical models and analytical frameworks.

The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts.

Due to the nature of the business, this is mainly an office-based role, but you will be able to choose 1 day per week to work from home.

Experience required:

1. 3+ years’ experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries.
2. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting, etc.
3. Strong programming ability, preferably in Python.
4. SQL and relational databases.
5. An interest/passion for Football!

The company offers some great benefits including a half-year bonus, subsidised office meals, gym membership, and private medical insurance.

If you are interested in this role, please apply or contact (url removed) / (phone number removed) for further information.

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

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