Investigation Specialist II, Ops Trust Team

Job Title

This role conducts risk reviews on carriers with investigatory resources and tools to validate identity. Has responsibility for taking appropriate actions on accounts to protect Amazon from risk of related account detection and to prevent/mitigate fraud. The role works towards zero fraud and identify bad actors in the system. The team seeks the best possible trade-off between customer experience and risk related losses, and when they have to make difficult choices, they will err towards the customer experience.

Key job responsibilities:

• Understanding of related accounts identification
• Provide data analysis & conduct investigations
• Pull data from numerous databases (using Excel, SQL and/or other database) and to perform ad hoc reporting and analysis as needed
• Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends
• Identify and eliminate root causes of defects in order to drive efficiency in Amazon's transportation operations
• Understand the business impact of the trends and make decisions that make sense based on available data
• Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams
• Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
• Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings and the variances to goals, and present these finding in a review forum
• Participate in ad-hoc projects and assignments as necessary
• Partner with cross functional teams across Amazon for collaboration on fraud risks and investigations
• Apply risk management best practices to mitigate issues, identify operational inefficiencies and improve processes

A day in the life:

• Define SOPs, document new methods of abuse/frauds, and partner with stakeholder teams to drive gaps to closure
• Constantly monitor metrics to identify deviations, and spot emerging frauds/MOs that are adopted by bad actors
• Drive program/process goals independently with minimal to no intervention from leadership
• Partner with multiple fraud/abuse teams to learn and implement industry wide best practices and other identity verification mechanisms