Lead Business Analyst, Fraud Analytics

📋 Description

• Analyze large datasets to identify fraud trends, patterns, and emerging risks across payment and
• Develop and support fraud risk strategies across the full fraud lifecycle, including application
• Translate complex data into actionable insights that drive fraud prevention strategies and business
• Partner with Fraud Policy, Operations, Risk, and Technology teams to implement, optimize, and
• Support the testing, implementation, monitoring, and continuous improvement of fraud decision
• Create reports, dashboards, and analytical insights to measure strategy performance and identify

🎯 Requirements

• Hands-on experience in fraud analytics within the payments industry, including credit cards
• Strong analytical background working with large, complex datasets in Big Data environments.
• Proficiency with data analysis tools such as SQL, Python, SAS, Hive, or similar technologies.
• Demonstrated ability to identify fraud patterns, trends, anomalies, and actionable insights from
• Experience supporting business decisions through data analysis, reporting, and strategic