Quantitative researcher - sports syndicate

JR United Kingdom; City Of London; Hybrid; GBP 50,000 - 85,000; Full time

Job summary

A leading sports betting firm in London seeks a senior quantitative researcher/data scientist to join their high-performing analytics team. The candidate will utilize advanced statistical methods to develop and lead the creation of proprietary betting models, requiring a strong background in Bayesian statistics and programming skills in Python or R.

Qualifications

• 2+ years' experience developing sports betting models.
• Strong understanding of Bayesian statistics and related techniques.
• Excellent proficiency in programming languages, preferably Python or R.

Responsibilities

• Lead development of proprietary betting models.
• Utilize advanced statistical techniques for analysis.
• Collaborate with the quantitative analytics team.

Skills

Bayesian statistics

Statistical modeling

Programming (Python or R)

Statistical inference

Domain knowledge of US sports

Education

MSc or higher in any STEM subject

Job description

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Quantitative researcher - sports syndicate, london (city of london)

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Client:

Harrington Starr

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

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 [emailprotected]