Payment Fraud Data Analyst
Core
Analyze payment transaction data to identify fraud patterns, anomalies, and risks, and maintain real-time fraud detection models to prevent financial losses.
Role type
Data Analyst (Fraud Prevention)
Builds
Real-time fraud detection models, risk analytics reports, and operational metrics for global payment risk management.
Domain
Financial Services / Payment Processing / Fraud Detection
Deliverable
production ML models | dashboards & analysis
Required skills
Data mining, statistical analysis, risk modeling, link analysis, MS Excel, MS Access, MS PowerPoint, complex problem solving, risk mitigation principles
Preferred skills
Python, fraud detection experience, technical solution development for fraud prevention, understanding of industry trends in fraud prevention
Technologies
MS Excel, MS Access, MS PowerPoint, Python
Responsibilities
Perform data analysis and data mining to identify suspicious behavior trends and anomalies; Adjust and maintain fraud detection models for real-time transaction monitoring; Develop operational metrics and benchmarking analysis for regional fraud prevention; Analyze system declined orders, chargebacks, and fraud tracker data to propose model adjustments; Validate risk models and ensure compliance with financial security regulations and consumer privacy laws.
Seniority
Individual Contributor