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Senior Manager, Fraud Analytics and Risk

2 weeks, 2 days ago
United States
Full-time
Senior
Data Analyst
Data Science and Analytics
Machine Learning Snowflake SQL
Apply Now
GOAT Group

GOAT Group

GOAT Group is a global platform offering the greatest products from the past, present, and future. Established in 2015, it has evolved into the premier sneaker marketplace worldwide, expanding to provide apparel and accessories from emerging, contempor...

Retailing
1K-5K
$493M raised
View All Jobs 13

Description

  • Own the end-to-end fraud rule lifecycle, including designing, testing, deploying, and continuously optimizing detection rules and thresholds.
  • Lead AI-enabled fraud use cases from sizing and feature ideation through population analysis and data quality assessment.
  • Review fraud model and rule performance on a regular basis and drive root-cause investigations to surface emerging risk.
  • Advise on fraud-related AI and ML use cases in alignment with enterprise AI governance standards, regulatory expectations, and the AI Use Case Registry.
  • Evaluate vendor fraud solutions for effectiveness, overlap, cost, and risk-reduction value.
  • Write and maintain intermediate-to-advanced SQL queries to investigate fraud signals, connected accounts, orders, and emerging patterns.
  • Develop and maintain executive dashboards for fraud review rates, chargeback performance, model effectiveness, and loss trends.
  • Translate analytical findings into clear executive-ready narratives for leadership and cross-functional partners.
  • Support daily fraud review operations, including account verification, order review, escalations, SLA adherence, and QA.
  • Partner with Product, Engineering, Compliance, Legal, CX, and senior leadership to align fraud controls with business and regulatory priorities.

Requirements

  • 4–6 years of experience in fraud analytics, fraud strategy, or payments risk, ideally in fintech, e-commerce, or a marketplace.
  • Demonstrated experience designing and optimizing fraud detection rules or model-driven thresholds.
  • Strong SQL proficiency, including building complex queries from scratch and troubleshooting data; Snowflake or similar is 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 to technical peers and senior leadership.
  • Experience with AI-enabled workflows or a strong interest in applying AI to fraud and risk in a responsible, governance-aligned way.
  • Self-starter who can synthesize complex information quickly, drive work forward with minimal oversight, and connect individual cases to systemic patterns.
  • Comfortable working in a fast-paced environment where priorities shift as the threat landscape evolves.

Benefits

  • Hiring range of $104,480–$153,600 USD, with geographic pay tiers based on home state.
  • 401(k) benefits.
  • Paid time off.
  • Medical, dental, and vision insurance options.
  • Disability and life insurance options.

Interested in this position?

Apply directly on the company website

Apply Now

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