Employer Industry: Online Sports Betting and Gaming

Why consider this job opportunity:
- Competitive pay and benefits
- Flexible vacation allowance
- Flexible work-from-home or office hours
- Startup culture backed by a secure, global brand
- Opportunity to mentor and guide junior analysts in a collaborative environment

What to Expect (Job Responsibilities):
- Develop and maintain sophisticated sports simulation models for accurate pricing of sports betting markets
- Lead the creation of proprietary algorithms for odds compilation and risk management
- Collaborate with data engineering teams for efficient processing of large-scale sports datasets
- Conduct in-depth analysis of betting patterns and customer behavior to refine pricing strategies
- Mentor and guide junior quantitative analysts, fostering a culture of innovation within the team

What is Required (Qualifications):
- Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field
- 10+ years of experience in quantitative analysis, focusing on sports modeling and sports betting
- Extensive experience in developing and implementing complex sports simulation models
- Strong programming skills in languages such as Java, Go, C++, Rust, or Python
- Comprehensive knowledge of NFL and/or NBA, including team statistics and player performance metrics

How to Stand Out (Preferred Qualifications):
- Experience working with a major sportsbook or quantitative sports company
- Familiarity with regulatory requirements in the sports betting industry
- Publications or patents related to sports modeling or machine learning in betting contexts
- Knowledge of esports and emerging betting markets
- Experience with real-time decision-making systems for live betting scenarios

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