Risk Manager, Selling Partner Services

About the role

We are seeking a data-driven Risk Manager who can break down and solve complex problems. This position requires strategic thinking, data skills, and investigative abilities to detect and prevent fraud and abuse.

Responsibilities

• Investigate risk and analyze large datasets to identify anomalies and trends that can be used to identify abuse at scale.
• Deliver results in highly ambiguous and fast-moving environment
• Use high-level judgment to own complex investigations and enforcement decisions driven through data.
• Write deep dive documents summarizing investigations and proposing solutions
• Foster collaboration across different departments to deliver comprehensive solutions
• Support teams in responding to, investigating and managing escalations around different types of abuse.

About the team

We protect systems, prevent fraud and abuse, pursue bad actors, and solve complex problems. Our team is structured around core store functions: identity, traffic, external third-party services, and financials. We use systems thinking to map how user networks interact across services, revealing vulnerabilities that bad actors exploit.

Qualifications

• Basic Qualifications:
  • Bachelor's degree or equivalent
  • 3+ years of experience in e-commerce, fraud investigations, abuse detection, trust & safety, financial crimes, or fintech
  • Demonstrated experience conducting complex investigations using multiple data sources
  • Demonstrated ability to leverage data to propose solutions
  • Experience identifying patterns, synthesizing signals, and distinguishing legitimate activity from bad actor behavior
  • Ability to work with incomplete information and make sound judgments under ambiguity
  • Strong data analysis skills using common analysis and manipulation tools
• Preferred Qualifications:
  • 5+ years of experience in investigative roles (fraud, abuse, risk intelligence, law enforcement analysis, or similar)
  • Experience translating investigative findings into actionable detection signals or policy recommendations
  • Background in hypothesis-driven inquiry and root cause analysis
  • Familiarity with e-commerce, payments, or marketplace fraud/abuse vectors
  • Experience sourcing and analyzing data, including running, and modifying SQL queries to investigate anomalies and drive insights

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

USA, AZ, Tempe - 74,200.00 - 129,800.00 USD annually