• Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse • Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses • Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants • Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams • Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies • Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams