Fraud Investigator, Risk Manager II, Fraud Investigations, Recovery & Enforcement (FIRE)

Sobre esta oportunidad

Amazon is seeking a data-driven, technically curious, and results-oriented Senior Fraud Investigator to join the Fraud Investigations, Recovery & Enforcement (FIRE) Digital Fraud team. This team is responsible for detecting, preventing, and investigating fraudulent vendor and creator activity across Amazon's digital businesses, leveraging advanced fraud detection technologies including graph-based data clustering, machine learning risk scoring models, and automated application screening rules. We are looking for a strong risk analyst with a proven track record of investigating vendor fraud in procure-to-pay lifecycles and prototyping detection logic to catch fraud the moment it enters the financial system.

The ideal candidate will take ownership of end-to-end fraud investigations, build and test prototype detection rules (using SQL, Python, or AI-assisted tools), contribute to AI/ML-assisted workflows, and translate investigative findings into scalable automation. , Power BI, QuickSight) to validate detection outputs and support investigative analysis• Own the development and maintenance of dashboards, metrics, and reports that track program KPIs (loss avoidance, rejection rates, detection volumes, false positive rates)• Contribute to building and updating SOPs, propose process improvements that increase efficiency or detection accuracy, and maintain productivity targets within defined SLAsAbout the teamOur mission is to detect and mitigate fraud across Amazon's digital ecosystem by investigating high-risk accounts flagged by advanced machine learning models and fraud detection rules.

The individual will collaborate with technology teams, policy owners, and cross-functional stakeholders to close investigations, invent new detection mechanisms, and drive program metrics. - Bachelor's degree or equivalent- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages- Experience with Microsoft Office products at an advanced level and SQL- 5+ years of managing complex investigations end to end, legal, governance, audit, risk/loss prevention, or equivalent experience - 3+ years of program requirements definition and data and metrics leveraging to drive improvements experience- Knowledge of machine learning concepts and their application to reasoning and problem-solving- Experience prototyping fraud or anomaly detection rules using SQL, Python, scripting tools, or generative AI, translating investigative insights into testable detection mechanismsOur inclusive culture empowers Amazonians to deliver the best results for our customers.

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