SPIV Risk Manager: Fraud Prevention & Data Insight Lead

Amazon Inc.; Seattle (WA); On-site; USD 83,000 - 130,000; Full time

Job summary

Amazon.com Services LLC is seeking a motivated Risk Manager for the SPIV team to analyze complex data, mitigate fraud, and scale prevention across our stores. You will own high-impact risk initiatives and partner with operations, product, risk, tech, and science roles to execute projects.

An ideal candidate has strong communication, data savvy, and a bias for action, with experience in risk management and policy improvement. This role is located in Seattle and supports ongoing mitigation efforts.

Qualifications

• Basic Qualifications: 5+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience.
• Bachelor's degree or equivalent.
• Experience with SQL and Excel.

Responsibilities

• Complete risk analyses using complex data sets (SQL, Python, R etc.).
• Use high-level judgment to own our most complex risk mitigation and prevention initiatives.
• Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.
• Use data and/or technical skills to discover new ways to scale risk signals resulting in the identification of abuse risk.
• Break problems into manageable pieces, meticulously prioritizing, and delivering results in an ambiguous and constantly changing environment.
• Conduct large scale deep dives to derive insights about abuse, identifying gaps and risk in Amazon's current mechanisms, systems, and policies.
• Discover solutions and convey detailed technical knowledge to engineering, legal, and program/product management teams.

Skills

SQL

Excel

Education

Bachelor's degree or equivalent

Job description

Amazon.com Services LLC is seeking a motivated Risk Manager for the SPIV team to analyze complex data, mitigate fraud, and scale prevention across our stores. You will own high-impact risk initiatives and partner with operations, product, risk, tech, and science roles to execute projects.

An ideal candidate has strong communication, data savvy, and a bias for action, with experience in risk management and policy improvement. This role is located in Seattle and supports ongoing mitigation efforts.