Amazon has built a reputation for excellence with recent examples of being named the #1 most trusted company for customers. We are looking for people who are passionate about ensuring customers and sellers are safe to enjoy our digital ecosystem. Amazon's Account Integrity team (AIT) within the Customer Partner Trust organization is looking for a passionate, results-oriented Risk Mining or Analyst (Level 4 or level 5) to leverage data, detect anomalies and prevent bad actors from harming our sellers and customers. This position is for the Selling Partner Account Compromise (SPAC) vertical, managing critical account takeover (ATO) investigations affecting customer trust globally.
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 behaviors and deploy rules that will prevent bad actors from gaining access to Amazon's platform. The ideal candidate possesses strong business judgment, deep analytical thinking, is comfortable managing multiple responsibilities within a fast-paced environment, and has worked collaboratively with others to develop, implement, and communicate business improvement and risk mitigation strategies. Strong verbal and written communication skills, a solution-oriented approach, and relationship-building skills are important attributes to succeed in this role.
The Risk Analyst works efficiently both independently and with teammates, and routinely deliver results on time. They possess a global view of their business and think in terms of immediate problem solving but also automating, expanding, and scaling solutions broadly. The Risk Analyst will be tasked to:
Key job responsibilities • Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space. • Analyze complex bad actor trends to identify patterns, develop attributes that clearly articulate those patterns and incorporate those attributes into static rules for automated deployment. • 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. • 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. • Use AI tools / IDEs available in Amazon to develop pipelines, query information, automate workflows, develop risk detection alarms, etc. using local or cloud desktops / AWS tools.
A day in the life • Review instances of bad actor account activity and create mechanisms to stop them. • Report on fraud and abuse trends and improve products. • Create and maintain dashboards that detect and inform stakeholders (such as downstream payment and abuse product owners) on how to stop fraud. • Participate and lead process improvement initiatives across account integrity teams. • Develop rules to mitigate bad actor activity.
About the team Our team consists of Business Analysts and Risk Mining specialists rolled up under the Account Integrity Machine Learning Team. We dissect instances of organized bad actor selling partner account take-overs. We collaborate closely across multiple functions in order to mitigate these attacks through various short and long-term solutions.
Basic Qualifications
- 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
- 3+ years of managing food safety and quality in a large-scale retail or manufacturing environment experience
- Bachelor's degree or equivalent
- Experience interacting with local food safety regulators
Preferred Qualifications
- 3+ years of program requirements definition and data and metrics leveraging to drive improvements experience
- Professional auditing qualification, or similar risk or compliance credentials
- Experience with SQL and Excel
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