Quantitative Analyst - Sports Betting

Hard Rock Digital

14h•Hybrid

About The Position

Hard Rock Digital 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 insight and strive to ensure we're always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space — ready 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.

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

Nice 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 real-time decision-making systems for live betting scenarios

Responsibilities

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