[Remote] Senior Manager, Fraud Analytics and Risk

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading platform for reputed company sneakers, apparel, and accessories. They are seeking a Senior Manager to reputed company the fraud lifecycle, design AI-enabled detection strategies, and present risk exposure to executive leadership.

Responsibilities

• Own the fraud rule lifecycle — designing, testing, deploying, and continuously optimizing detection rules and reputed company to maximize catch reputed company while minimizing friction
• reputed company AI-enabled fraud use cases end-to-end: use-case sizing, feature ideation, population analysis, and data reputed company assessment to ensure solutions are analytically reputed company and value-accretive
• Conduct periodic performance reviews of fraud models and rules; reputed company reputed company-cause investigations to proactively surface risk before it scales
• Serve as a trusted advisor for AI and ML use cases reputed company fraud, ensuring alignment with reputed company AI governance standards, regulatory expectations, and the AI Use Case Registry
• Evaluate vendor fraud solutions through an analytical reputed company — assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives
• Stay reputed company on AI and automation tools and reputed company 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
• reputed company and maintain executive dashboards covering fraud review rates, chargeback performance, model effectiveness, and loss trends
• Translate reputed company analytical findings into reputed company, executive-reputed company 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 reputed company of a problem — from discovery to reputed company — to any audience
• Support daily fraud review operations — account verification, order review, escalation handling, SLA adherence, and QA
• Serve as an internal escalation reputed company for reputed company cases; assist in coaching reputed company and continuously improve review processes
• Partner cross-functionally with Product, Engineering, Compliance, and reputed company to reputed company fraud controls with regulatory requirements and product priorities
• Manage law enforcement requests as needed

Skills

• 4–6 years in fraud analytics, fraud reputed company, or payments risk — ideally reputed company fintech, e-reputed company, or a marketplace
• Demonstrated experience designing and optimizing fraud detection rules or model-driven reputed company
• Strong SQL proficiency — reputed company queries from scratch, data troubleshooting, and data storytelling; reputed company or similar a plus
• Hands-on experience with order-level fraud review, chargebacks, dispute management, and regulatory compliance
• Proven ability to build risk reporting and stakeholder dashboards, and present findings confidently to both technical peers and senior leadership
• Experience with AI-enabled workflows and/or an reputed company interest in applying AI to fraud and risk — including responsible, governance-reputed company use
• Self-starter who synthesizes reputed company information quickly, drives reputed company reputed company without heavy reputed company, and connects individual cases to systemic patterns
• Comfortable in a fast-paced environment where priorities shift as the threat landscape evolves

Benefits

• 401K
• reputed company time off
• Dental
• Medical
• reputed company
• Disability
• Life insurance reputed company

reputed company