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Quantitative researcher - sports syndicate

Harrington Starr
Quantitative researcher
Posted: 17 June
Offer description

Sports quantitative researcher
Hybrid, London (3 days onsite)

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

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