Quantitative Analyst – Sports Betting
Job Description:
- Develop and maintain sports simulation models to accurately price a wide range of sports betting markets
- Contribute to the creation and improvement of algorithms for odds compilation and risk management across various sports and bet types
- Work with data engineering teams to ensure efficient processing and utilization of sports datasets
- Assist in implementing and improving models for live betting, taking into account real-time data and market movements
- Conduct analysis of historical datasets to inform pricing strategies and identify potential risks
- Collaborate with trading teams to provide quantitative insights and support for decision-making
- Stay informed about the latest developments in sports and betting technologies, proposing new methodologies as appropriate
Requirements:
- Solid experience in developing and implementing sports models for pricing and risk assessment in sports betting
- Strong expertise in statistical analysis, machine learning and predictive modeling techniques applied to sports analytics
- Proficiency in programming languages such as C++ or Python for model development and data analysis
- Strong understanding of probability theory, stochastic processes, and their applications in sports betting
- Experience with big data technologies for processing large volumes of data
- Strong problem-solving skills and attention to detail in analyzing sports statistics and trends
- Good communication skills, with the ability to explain complex quantitative concepts to both technical and non-technical stakeholders
- Degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field (Ph.D. is a plus)
- Strong knowledge of US Sports, including team statistics, player performance metrics, and league-specific betting trends
- 2-3 years of experience in quantitative analysis, with a focus on sports statistics and sports betting
- Proven track record of contributing to the development and implementation of sports simulation models for pricing and risk management
- Experience with odds compilation and pricing strategies across various sports and bet types
- Strong programming skills and experience with version control systems (e.g. Git)
- Solid understanding of the sports betting market, including different bet types, market dynamics
- Preferred: Experience working with a sportsbook or Quantitative sports company
- Familiarity with regulatory requirements and compliance in the sports betting industry
- Contributions to sports modeling projects or publications
- Experience with real-time decision-making systems for live betting scenarios
Benefits:
- Competitive pay and benefits
- Flexible vacation allowance
- Flexible work from home or office hours
- Startup culture backed by a secure, global brand
- Opportunity to build products enjoyed by millions as part of a passionate team
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