Senior Data Analyst, Risk and Fraud | Hoboken, NJ, USA
Job
BetMGM
Hoboken, NJ (In Person)
$106,375 Salary, Full-Time
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Job Description
Senior Data Analyst, Risk and Fraud {"description": " 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!
- Analyze large-scale transactional and behavioral data using SQL to identify fraud patterns, emerging threats, and key risk signals across the customer lifecycle.
- Design and develop scalable analytics solutions and automations (e.g., Python, Streamlit - a plus) to support fraud detection, investigation workflows, and operational efficiency.
- Build and maintain dashboards and monitoring tools (e.g., Power BI) to track fraud, payments, and risk performance metrics, reducing manual investigative effort.
- Support the development and optimization of fraud detection strategies, rules, and risk indicators through data-driven analysis and testing.
- Perform deep-dive investigations into suspicious activity (e.g., multi-accounting, geolocation anomalies, payment abuse) to uncover fraud networks and inform mitigation strategies.
- Ensure data quality, integrity, and consistency across fraud and risk reporting through strong validation, documentation, and control processes.
- Partner closely with Fraud Operations, Payments, Risk, and Compliance teams to translate analytical findings into actionable insights and measurable process improvements.
- Communicate complex fraud trends and investigative findings clearly and effectively to both technical and non-technical stakeholders Qualifications
- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics), or equivalent experience in data analytics within risk, fraud, or payments
- 3+ years of experience in data analysis within risk, fraud, payments, or a related domain
- Strong analytical skills with proficiency in SQL and experience with data visualization tools (e.g., Power BI)
- Experience working with Python for data analysis or automation (preferred)
- Experience analyzing transactional or behavioral data to identify trends, anomalies, or risk signals
- Excellent communication skills, with the ability to translate complex findings into clear, actionable insights for non-technical stakeholders
- Strong problem-solving mindset with a focus on continuous improvement
- Ability to work in a fast-paced environment, adapt to changing priorities, and deliver under tight deadlines
- Proficiency with Microsoft Excel and PowerPoint for analysis and presentation of findings
- Strong troubleshooting skills, with the ability to identify, investigate, and resolve data or process issues
- Naturally curious, with a proactive approach to solving business and risk-related problems
- Strong verbal reasoning and critical thinking skills
- Data-driven mindset, using quantitative analysis to inform decisions and recommendations
- Ability to understand stakeholder needs and translate them into effective analytical or technical solutions The annual salary range for this position is $92,000 to $120,750.
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