Manager, Trading Analytics

Discover What’s Possible at BetMGM

Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We’re a brand with technology at our hearts and the most driven and focused talent in the business.

As a valued team member, we’re committed to giving you the resources and support you need to thrive. Our benefits and perks include:

• Medical, Dental, Vision, Life, and Disability Insurance

• 401(k) with company match

• Pre-tax spending accounts including health care FSA and commuter savings

• Flexible paid time off

• Professional development reimbursement and ongoing skills training opportunities

• Employee resource groups

• Swag, ticket giveaways, and more!

At BetMGM, we recognize that every individual plays a meaningful role in our success. That’s why we’re committed to building a respectful, inclusive workplace. It’s the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. 

About the Role 

The Manager of Trading Analytics leads analytical efforts that inform pricing strategy, risk management, exposure control, and market efficiency across the sportsbook. This role sits at the intersection of Trading, Analytics, and Product, delivering insights and tooling that improve margin performance, price competitiveness, customer risk management, and market growth. Managing a team of 2–4 data analysts, this leader builds models, monitoring tools, and predictive insights that empower Trading to make informed, data-driven decisions.

Responsibilities

Trading Performance & Margin Optimization

• Partner with Traders and Trading Analysts to build analytical frameworks that measure margin health, exposure risk, price competitiveness, and market performance.

• Build predictive models for liability forecasting, volatility estimation, trading limits, and customer risk detection.

• Support the Trading Risk team to improve customer profiling accuracy to identify sharp action, arbitrage, syndicates, and risk patterns.

Real-Time Monitoring & Operational Decision Support

• Collaborate with the Trading Development team on real-time dashboards for price deltas, liability alerts, exposure tracking, and market imbalance.

• Partner with Trading and Product to validate odds feeds, automate pricing rules, and optimize trading parameters.

• Conduct post-event analysis to diagnose pricing accuracy and margin drivers.

Modeling, Experimentation & Algorithmic Development

• Support the development and improvement of automated trading models and pricing systems.

• Run controlled experiments to test new trading strategies, market settings, or pricing policies.

• Collaborate with Data Engineering on building model-ready datasets for trading decisioning.

Team Leadership

• Manage and develop a team of trading data analysts.

• Maintain standards for analytical rigor, speed, and quality across the team.

• Support career development and upskill team members in statistical modeling and trading logic.

Cross-Functional Collaboration

• Serve as a key analytical partner to the Trading leadership team.

• Provide insight into competitive pricing, market-level performance, and risk exposures.

• Work closely with Product, Finance, and Operations on initiatives impacting Trading.

Qualifications

Education and Experience:

• Bachelor's degree in Analytics, Statistics, Business, or related field.

• 5+ years of experience in data analytics, with at least 1–2 years in a people management or lead role.

• Experience in the online gaming industry preferred.

Technical Expertise:

• Strong proficiency in SQL, Python, or R and visualization platforms (e.g., Tableau, Power BI, Looker).

• Experience with statistical modeling, A/B testing, and customer segmentation techniques.

• Familiarity with online gaming platforms, trading systems, and related technologies.

Leadership & Soft Skills:

• Analytical thinker with the ability to balance day-to-day execution with longer-term goals.

• Clear communicator with the ability to present