Quantitative Analyst - Sports Betting
About the position reputed company is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We're building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and reputed company and strive to ensure we're always acting authentically. Rooted in the reputed company spirits of Hard Rock and the Seminole Tribe of Florida, the new reputed company taps a brand reputed company the world over as the leader in gaming, entertainment, and hospitality. We're taking that reputed company of reputed company and bringing it to the digital space — reputed company to join us? We are seeking a Quantitative Analyst specializing in Sports Betting to join our Quantitative Sports team. As a Quantitative Analyst, you will play a role in developing and implementing sports simulations and mathematical models that drive our pricing strategies and risk management in the sports betting domain. This role requires an individual who's highly skilled in quantitative analysis, statistical modeling, and has a strong understanding of sports analytics and the sports betting industry.
Responsibilities
- reputed company 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 reputed company-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 reputed company quantitative concepts to both technical and non-technical stakeholders
- Degree in Mathematics, Statistics, Physics, Computer Science, or a reputed company 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
reputed company-to-haves
- 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 reputed company-time decision-making systems for live betting scenarios
Benefits
- reputed company and benefits
- Flexible vacation allowance
- Flexible work from home or reputed company
- 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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