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

Written by the T&S Network from Amazon's posting.

Investigates vendor and creator fraud across Amazon's digital businesses, within the Finance Operations Digital Fraud team, which detects and prevents fraud in invoices, payments and account activity in the procure-to-pay lifecycle. The team works to catch fraud as it enters the financial system, using graph clustering, machine learning risk scoring and automated application screening rules.

• Fraud and scams

What you'd do

• Run end-to-end fraud investigations and deep dives, finding root causes and preserving evidence
• Document findings and recommendations for management and cross-functional stakeholders
• Partner with technical, legal, business and product teams on case resolution and fraud tooling
• Prototype detection logic in SQL, Python or AI-assisted tools and validate it before production
• Track rule true and false positive rates and feed investigator labels into model tuning
• Build and maintain dashboards and reports on loss avoidance, rejection rates and detection volumes
• Help write SOPs and propose process changes that improve efficiency and detection accuracy

What it asks for

• Bachelor's degree or equivalent experience
• 5+ years managing complex investigations end to end in legal, governance, audit, risk or loss prevention
• Experience with BI tools such as QuickSight, Tableau or Power BI
• Advanced Microsoft Office skills and SQL
• 3+ years defining program requirements and using data and metrics to drive improvements (preferred)
• Knowledge of machine learning concepts applied to problem-solving (preferred)
• Prototyping experience turning investigative findings into testable fraud or anomaly rules, in SQL, Python or AI tools (preferred)

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