Quantitative researcher - sports syndicate

JR United Kingdom; Slough; Hybrid; GBP 45,000 - 75,000; Full time

Job summary

A leading firm in sports betting seeks a Senior Quantitative Researcher to join their high-performing analytics team in Slough. This role involves developing and leading the creation of innovative betting models leveraging advanced statistical methodologies. Candidates should have a strong background in data science, proven experience in sports analytics, and be proficient in programming with a preference for Python or R. This opportunity provides a chance to work in a hybrid environment, contributing to the evolution of sports betting technology.

Qualifications

• 2+ years' experience in developing sports betting models.
• Strong understanding of advanced statistical techniques.
• Proficiency in programming languages, specifically Python or R.

Responsibilities

• Lead the development of proprietary betting models.
• Conduct quantitative analysis specific to sports.

Skills

Bayesian statistics

Variational inference

Filtering techniques

State space models

Hierarchical models

Programming (Python or R)

Education

MSc in STEM subject

Job description

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Quantitative researcher - sports syndicate, slough

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Client:

Harrington Starr

Location:

slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

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 [emailprotected]