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Note: This role requires prior experience in the sports betting industry and strong proficiency in C#. Candidates without this background will unfortunately not be considered at this time.
Senior Quantitative Analyst
Industry: Sports betting
Work Arrangement: 2 days onsite, 3 days WFH
Harrington Starr is proud to partner with one of the top sports betting firms in London. This established organization is known for developing proprietary models and maintaining strong internal pricing capabilities. Their small, specialized quant team focuses on pricing, data science, and sports modeling across multiple sports.
About the Role
The Senior Quantitative Analyst will report to the Head of Quant and focus on sports modeling and Bet Builders, helping shape market expansion through innovative solutions.
Key Responsibilities:
1. Develop advanced models using machine learning and AI.
2. Code algorithms in C# and Python for data analysis.
3. Collaborate with trading, analytics, and engineering teams.
Candidate Requirements:
1. Experience: 3+ years in sports betting with a focus on quantitative innovation.
2. Skills: Expertise in machine learning, AI, and strong coding abilities in C# and Python.
3. Education: A good degree in Mathematics or a STEM field is preferred.
4. Knowledge: Deep understanding of sports trading and quantitative modeling.
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