Quantitative Analyst - Sports Betting

What are we building?

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?

What's the position?

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.

Key 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