SeniorManager,FraudAnalyticsandRisk

Role Overview We're looking for a sharp, self-driven Senior Manager to join our growing Trust drive root-cause investigations to proactively surface risk before it scales. Serve as a trusted advisor for AI and ML use cases within fraud, ensuring alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry. Evaluate vendor fraud solutions through an analytical lens — assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives. Stay current on AI and automation tools and actively explore how they can enhance fraud detection workflows and efficiency. Write and maintain intermediate-to-advanced SQL queries to investigate fraud signals, identify connected accounts and orders, and surface emerging patterns. Develop and maintain executive dashboards covering fraud review rates, chargeback performance, model effectiveness, and loss trends. Translate complex analytical findings into clear, executive-ready narratives — articulating implications for fraud loss, operational efficiency, and customer experience. Proactively identify trends and anomalies at both the individual order and systemic level, communicating the full arc of a problem — from discovery to resolution — to any audience. Support daily fraud review operations — account verification, order review, escalation handling, SLA adherence, and QA. Serve as an internal escalation point for complex cases; assist in coaching the team and continuously improve review processes. Partner cross-functionally with Product, Engineering, Compliance, and Legal to align fraud controls with regulatory requirements and product priorities. Manage law enforcement requests as needed. We are looking for: 4–6 years in fraud analytics, fraud strategy, or payments risk — ideally within fintech, e-commerce, or a marketplace. Demonstrated experience designing and optimizing fraud detection rules or model-driven thresholds. Strong SQL proficiency — complex queries from sc