Quantitative researcher - sports syndicate

Sports quantitative researcher

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

Hybrid/remote

My client is an advanced sports betting firm with a seriously high performing quantitative analytics and research team. I am looking for a senior quant analyst/data scientist with a strong background in modelling, statistics and sports to join and lead the development of multiple proprietary betting models.

Job Requirements:

• 2+ years\’ experience (ideally in a syndicate) developing sports betting models from scratch, in any sport
• Strong fundamental understanding of Bayesian statistics, variational inference, filtering techniques, state space and hierarchical models
• MSc+ level degree from well respected university in any STEM subject
• Excellent proficiency in any programming language, but with a preference for Python or R
• Strong domain knowledge of the global sporting arena, with particular emphasis on US sports

For more information about the role and package, please reach out to kate.jenkinson@harringtonstarr.com