Fraud Analyst

• Monitor key payment and risk metrics, including approval rates, transaction volumes, and fraud alerts
• Analyze performance across clients, markets, payment methods, and risk indicators
• Identify and investigate unusual trends, processing anomalies, and emerging threats
• Use AI tools and machine learning techniques to improve fraud detection and risk analysis
• Provide findings and recommendations to Payments leadership and collaborators
• Generate payment and fraud performance reports for iLottery and iGaming
• Ensure data accuracy across internal systems and business intelligence tools
• Develop and maintain reporting standards, controls, and validation procedures
• Identify opportunities for payment and fraud optimization and cost savings
• Investigate payment incidents and fraud events with internal teams and service providers
• Document root causes, corrective actions, and ongoing monitoring requirements
• Support payment and fraud preparedness for new clients, markets, and providers

• Bachelor’s degree in Finance, Business, Analytics, Economics, Information Systems, or a related field, or equivalent professional experience
• 3+ years of experience in payments, financial services, fintech, gaming, e-commerce, transaction processing, or fraud/risk analytics
• Proficiency with Microsoft Excel, including pivot tables, lookups, and data validation
• Experience working with business intelligence platforms like Power BI, Tableau, or Looker
• Strong analytical, problem-solving, and investigative skills
• Ability to identify data-quality issues and reconcile information across multiple sources
• Excellent written and verbal communication skills
• Ability to prioritize tasks effectively in a high-volume, fast-paced environment
• Interest in or experience with AI methods and approaches for data analysis and fraud detection
• Experience working directly with payment processors, acquiring banks, gateways, or ACH providers preferred

Demonstrates expertise in payments and fraud analytics, utilizing AI tools and machine learning techniques to enhance risk detection and reporting. Proficient in data analysis, performance monitoring, and communication of findings to leadership and stakeholders.

• Payments Analytics
• Fraud Detection Techniques
• Business Intelligence Platforms
• Data Analysis
• Microsoft Excel Proficiency

• Payments Analytics
• Fraud Detection Techniques
• Data Analysis
• Data Validation
• Root Cause Analysis
• Performance Reporting
• Transaction Processing
• Risk Metrics Monitoring
• Data Quality Identification
• Cost Optimization

• Analytical Skills
• Problem-Solving Skills
• Investigative Skills
• Communication Skills
• Task Prioritization

• Financial Services
• Fintech
• Gaming
• E-Commerce
• Transaction Processing
• Fraud Analytics
• Risk Analysis
• Payment Processors
• Acquiring Banks
• ACH Providers

• Microsoft Excel
• Power BI
• Tableau
• Looker
• AI Tools