Senior Manager, Fraud Analytics and Risk

United StatesRemote

Responsibilities

Own the fraud rule lifecycle — designing, testing, deploying, and continuously optimizing detection rules and thresholds to maximize catch rate while minimizing friction.
Lead AI-enabled fraud use cases end-to-end: use-case sizing, feature ideation, population analysis, and data quality assessment to ensure solutions are analytically sound and value-accretive.
Conduct periodic performance reviews of fraud models and rules; drive root-cause investigations to proactively surface risk before it scales.
Evaluate vendor fraud solutions through an analytical lens — assessing effectiveness, overlap, and value relative to cost and risk-reduction objectives.
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.
Support daily fraud review operations — account verification, order review, escalation handling, SLA adherence, and QA.
Manage law enforcement requests as needed.

You'll own the full fraud lifecycle — from individual order review to designing AI-enabled detection strategies and presenting risk exposure to executive leadership.
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.
Stay current on AI and automation tools and actively explore how they can enhance fraud detection workflows and efficiency.
experience designing and optimizing fraud detection rules or model-driven thresholds.
Strong SQL proficiency — complex queries from scratch, data troubleshooting, and data storytelling; Snowflake 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 active interest in applying AI to fraud and risk — including responsible, governance-aligned use.

GOAT Group uses geographic pay tiers based on the employee’s home state to align compensation with market differences across the U.S. Hiring Range:
$122,900 - $153,600 USD
$110,800 - $138,400 USD
$104,500 - $130,600 USD
benefits (401K, paid time off, dental, medical, vision, disability, life insurance options).
Hiring Range: $104,480 — $153,600 USD

We're looking for a sharp, self-driven Senior Manager to join our growing Trust & Safety team.
This is a forward-looking role: you'll connect the dots across data, drive findings to resolution, and bring new ideas before problems escalate.
You'll work across Product, Engineering, Decision Science, Compliance, CX, and senior leadership — so translating complex findings into clear, actionable narratives is just as important as finding them.
Translate complex analytical findings into clear, executive-ready narratives — articulating implications for fraud loss, operational efficiency, and customer experience.
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
Self-starter who synthesizes complex information quickly, drives projects forward without heavy oversight, and connects individual cases to systemic patterns.
Comfortable in a fast-paced environment where priorities shift as the threat landscape evolves.
Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets)
Tier 2 - (Includes mid-cost markets across the U.S.)