Senior Data Analyst, Risk and Fraud

BetMGM

Senior Data Analyst leveraging data and analytical techniques to manage fraud and risk for BetMGM. Collaborating with stakeholders to improve detection and prevention frameworks in a fast-paced environment.

Posted 5/1/2026full-timeNew Jersey • New Jersey • 🇺🇸 United StatesSenior💰 $92,000 - $120,750 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata analysisdata visualizationanalytics solutionsfraud detectionrisk indicatorsdata qualitydata integritydata-driven analysis

Soft Skills

analytical skillscommunication skillsproblem-solving mindsetadaptabilitytroubleshooting skillscuriositycritical thinkingstakeholder managementcontinuous improvementactionable insights