Fraud Risk Analyst, Credit Strategy & Operations - Pay by Invoice

Amazon Amazon · Big Tech · Seattle, WA · Corporate Operations

This role focuses on fraud risk analysis and mitigation within Amazon's B2B Payments & Lending division. The analyst will conduct investigations, use data to identify risk patterns, and manage projects to improve operational efficiency. The role requires strong analytical skills, judgment, and experience with fraud-related systems and data analysis, including SQL and Python.

What you'd actually do

  1. Conduct deep dive investigations to derive business problems and define use cases in an ambiguous environment.
  2. Use data to make high judgement decisions and take direct actions to stop bad actors on worldwide stores as early as possible.
  3. Share risk insights with partner teams to constantly improve detection mechanisms.
  4. Manage risk mitigation projects designed to improve operational and process efficiency.
  5. Identify gaps and risks in current mechanisms and policies and recommend solutions to product/policy owning teams.

Skills

Required

  • 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
  • 4+ years of fraud/risk investigations experience
  • Working knowledge of SQL and Python, and experience in processing complex datasets from multiple sources
  • Clear examples of demonstrated judgment and strategic insight
  • Analytical and problem-solving skills, including the ability to recognize non-obvious patterns
  • Knowledge of Microsoft Office products and applications at an advanced level
  • Strong communication skills, both written and verbal
  • Experience managing complex projects with multiple stakeholders

Nice to have

  • 3+ years of program requirements definition and data and metrics leveraging to drive improvements experience
  • MBA, CFA or Master's Degree in relevant fields
  • Experience in managing credit risk program for an unsecured lending portfolio

What the JD emphasized

  • fraud investigation
  • fraud risk analytics
  • analyze data patterns
  • emerging patterns of risk
  • risk mitigation projects