Fraud Management Analyst

The Fraud Management Analyst will report directly to the Senior Manager, Fraud Management, serving as a crucial link in ensuring BetMGM maintains an effective fraud program designed to mitigate, detect, action and report on any fraudulent activity which has occurred. The primary focus of this role is to identify, investigate and prevent systematic fraudulent behavior. This includes analyzing large data sets and escalated accounts to identify patterns of fraudulent behavior and designing effective mitigation solutions. The Fraud Management Analyst will also play a pivotal role in handling escalated matters by performing account investigations to identify potential risks and fraudulent activity for higher value players. The Fraud Management Analyst will be also responsible for sharing their insights and recommendations with key stakeholders on the Operations and Product teams when exploitable gaps are identified.

• Monitor player gameplay activity, deposits and withdrawals to identify suspicious or potentially fraudulent emerging patterns and recommend fraud prevention strategies.
• Utilize various data sources to design, test and implement effective fraud prevention rules.
• Assist in tuning existing fraud detection rules and thresholds to reduce false positives while improving detection rates.
• Conduct root cause analysis on fraud trends and recommend preventative measures and process enhancements.
• Support the ongoing optimization of chargeback prevention and representment processes.
• Collaborate closely with the Operations teams to resolve emerging fraud rings and enforce account actions (i.e., suspension, closure, etc.).
• Analyze betting patterns to detect irregular gameplay, arbitrage betting and coordinated activity between accounts.
• Design and build effective dashboards to support the monitoring of key fraud KPIs.

• Minimum of 3 years of experience in Fraud, Risk Management, Compliance, or related field, preferably in the gaming or financial services industry.
• Bachelor’s degree in Finance, Criminal Justice, Data Analytics, or a related field.
• Excellent analytical, strategic thinking, and problem-solving skills.
• Experience in data analysis tools (e.g., Excel, SQL, Python, or BI tools)
• Excellent attention to detail and ability to identify patterns in complex data
• Strong written and verbal communication skills, with the ability to interact effectively at all levels of the organization.
• Ability to effectively articulate data insights.

• 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!