Manager: Fraud Data Insights and Analytics

Preferred Education 7-10 years' experience in data analytics, business intelligence, or fraud analytics (preferably in financial services or business banking).Experience using big data environments (e.g., Hadoop, Spark, Databricks) and cloud analytics platforms. Knowledge and Skills Analytical Thinking - strong data interpretation, correlation, and pattern recognition skills. Technical Proficiency - expert in SQL, Python/R, BI tools (Power BI, Tableau), and data visualization.Fraud Knowledge - understanding of fraud schemes, typologies, and control environments in Business Banking.