5+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries Deep understanding of fraud/AML use cases Experience working with machine learning-based detection systems and/or rule engines Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration Excellent verbal and written communication skills Confident in leading customer-facing discussions and executive presentations Highly organized with strong project ownership and time management skills Bachelor’s degree in a technical, analytical, or business-related field