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Amazon’s Account Integrity team (AIT) within the Selling Partner Support organization is looking for a passionate, results-oriented Risk Analyst (similar to Business Analyst) to leverage data, detect anomalies and prevent bad actors for harming our genuine customers. The incumbent will lead one of the core verticals of Risk Mining with AIT. The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud and abuse prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers. As a Business Analyst for Risk Mining in the Account Integrity group, you will be responsible for analyzing large data sets in partnership with product managers, scientists, and engineers, drive root cause analysis of ever changing bad actor behaviours and deploy rules that will prevent bad actors from gaining access to Amazon's platform.
Job Responsibility:
Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space
Analyze complex customer trends to identify patterns, develop attributes that clearly articulate those pattern and incorporate those attributes into static rules for automated deployment in our account creation pipeline
Apply your expertise in quantitative analysis, data visualization and data-mining to design alarm systems, derive actionable insights and guide product strategy for stakeholders and leadership
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI tools
Support cross-functional teams on the day-to-day execution of projects and initiatives
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing
Review instances of bad actor account activity and create rules for short term and mechanisms for long term to stop them
Report on fraud and abuse trends and leverage that information to support product development inputs
Create and maintain dashboards that detect and inform stakeholders on how to stop fraud and abuse via early stage detection of bad actor behavior
Participate and lead process improvement initiatives across account integrity teams
Develop rules to mitigate bad actor activity
Create long term solutions leveraging GenAI
Requirements:
4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
Bachelor's degree or equivalent
Experience handling confidential information
Experience with SQL and Excel
3+ years of program requirements definition and data and metrics leveraging to drive improvements experience
Demonstrated experience using scripting languages like R or Python
Basic understanding of Machine Learning and Ability to leverage Gen AI tools
Nice to have:
3+ years of program requirements definition and data and metrics leveraging to drive improvements experience
Demonstrated experience using scripting languages like R or Python
Basic understanding of Machine Learning and Ability to leverage Gen AI tools