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
Apply tot his job
Apply To this Job
• 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
Apply tot his job
Apply To this Job