Full-Time

Senior Data Analyst

Risk and Fraud

BetMGM

BetMGM

Compensation Overview

$92k - $120.8k/yr

+ Performance-based Bonus

No H1B Sponsorship

Jackson Township, NJ, USA

Hybrid

Category
Data & Analytics (1)
Required Skills
Streamlit
Power BI
Python
SQL
Data Analysis
Excel/Numbers/Sheets
PowerPoint/Keynote/Slides
Requirements
  • 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 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
  • Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. This role is not eligible for immigration-related employment authorization sponsorship (H-1B, O-1, E-3, TN, OPT, etc).
Responsibilities
  • 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

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A