Senior Manager, Fraud Analytics, Risk

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Oversee the entire fraud rule lifecycle — from designing, testing, and deploying to continuously optimizing detection rules and thresholds to enhance catch rates while reducing friction.

• Lead end-to-end AI-driven fraud use cases: sizing, feature ideation, population analysis, and assessing data quality to ensure that solutions are analytically robust and provide significant value.

• Perform regular performance evaluations of fraud models and rules; initiate root-cause analyses to identify risks proactively before they escalate.

• Act as a trusted advisor for AI and ML initiatives related to fraud, ensuring compliance with enterprise AI governance standards, regulatory requirements, and the AI Use Case Registry.

• Assess vendor fraud solutions through an analytical perspective — evaluating their effectiveness, overlap, and value in relation to cost and risk-reduction goals.

• Keep abreast of AI and automation tools, actively investigating their potential to improve fraud detection workflows and efficiency.

• Write and maintain intermediate-to-advanced SQL queries to analyze fraud signals, identify related accounts and orders, and uncover emerging patterns.

• Create and sustain executive dashboards that track fraud review rates, chargeback performance, model efficiency, and loss trends.

• Convert complex analytical insights into clear, executive-ready narratives — highlighting implications for fraud loss, operational efficiency, and customer experience.

• Proactively spot trends and anomalies at both the individual order level and the systemic level, conveying the complete trajectory of a problem — from discovery to resolution — to any audience.

• Assist with daily fraud review operations — including account verification, order review, escalation management, SLA compliance, and quality assurance.

• Act as an internal escalation point for complex cases; support the coaching of the team and continuously refine review processes.

• Collaborate across functions with Product, Engineering, Compliance, and Legal to ensure that fraud controls align with regulatory obligations and product priorities.

• Manage requests from law enforcement as needed.

⛳️ Requirements

• 4–6 years of experience in fraud analytics, fraud strategy, or payments risk — preferably in fintech, e-commerce, or a marketplace environment.

• Proven track record in designing and optimizing fraud detection rules or model-driven thresholds.

• Strong proficiency in SQL — capable of crafting complex queries from scratch, troubleshooting data issues, and telling data stories; experience with Snowflake or similar platforms is a plus.

• Practical experience with order-level fraud reviews, chargebacks, dispute management, and regulatory compliance.

• Demonstrated ability to create risk reporting and stakeholder dashboards, presenting findings confidently to both technical colleagues and senior leadership.

• Familiarity with AI-enabled workflows and/or a genuine interest in applying AI to fraud and risk, including responsible, governance-compliant usage.

• Self-motivated individual who can quickly synthesize complex information, advance projects independently, and connect individual cases to broader systemic patterns.

• Comfortable working in a fast-paced environment where priorities may change as the threat landscape evolves.

🏝️ Benefits

• 401K

• Paid time off

• Dental coverage

• Medical coverage

• Vision coverage

• Disability insurance

• Life insurance options