High-Risk Data Analyst

The Account Integrity team within the Selling Partner Support organization is seeking a passionate and results-oriented Risk Analyst to leverage data, detect anomalies, and prevent bad actors from harming genuine customers.

The incumbent will lead one of the core verticals of Risk Mining with AIT. The team owns designing and building high-performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with 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 its customers.

As a Risk Analyst for Risk Mining Team in the Account Integrity group, you will be responsible for analyzing large datasets in partnership with product managers, scientists, and engineers, driving root cause analysis of ever-changing bad actor behaviors, and deploying rules that will prevent bad actors from gaining access to Amazon's platform.

• Maintain and improve datasets, pipelines, and reporting to track and manage important KPIs and goals in the Account Integrity space.
• Analyze customer trends to identify patterns, develop attributes that clearly articulate those patterns, and incorporate those attributes into static rules for automated deployment in our account creation pipeline.
• Apply expertise in quantitative analysis, data visualization, and data-mining to design alarm systems, derive actionable insights, and guide product strategy for stakeholders and leadership.
• Support the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc., within SQL and other BI tools.
• Support cross-functional teams on day-to-day execution of projects and initiatives.
• Communicate analysis and insights to stakeholders and business leaders, both verbally and in writing.

1. Review instances of bad actor account activity and create rules for short-term and mechanisms for long-term to stop them.
2. Report on fraud and abuse trends and leverage that information to support product development inputs.
3. Create and maintain dashboards that detect and inform stakeholders (such as downstream payment and abuse product owners) on how to stop fraud and abuse via early-stage detection of bad actor behavior.
4. Participate and lead process improvement initiatives across account integrity teams.
5. Develop rules to mitigate bad actor activity.
6. Login during on-call week to respond to any high-severity events and if needed, develop short-term rules to mitigate impact.

Our team consists of Risk Managers, Risk Analysts, and Risk Specialists rolling up under the Account Integrity Machine Learning Team. We evaluate instances of organized bad actor account takeovers and creation of fraudulent accounts on Amazon.

We collaborate closely across multiple functions to mitigate these attacks through various short- and long-term solutions.

This role will support existing teams based out of Costa Rica, India, and the US and enable provision of round-the-clock coverage of Severity -2 support for AIT.

• 1+ 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.

• 1+ years of program requirements definition and data and metrics leveraging to drive improvements experience.
• Professional auditing qualification, or similar risk or compliance credentials.
• Experience using scripting languages like R or Python.