Amazons Account Integrity team (AIT) within the Selling Partner Support organization is looking for a passionate resultsoriented Risk Mining 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 realmoney 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 Amazons platform.
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 customer trends to identify patterns develop attritbutes that clearly articulate those pattern and incorporate those attributes into static rules for automated deployment in our account creation pipeline.
Operate as an oncall during rotation weeks to respond to high severity events impacting Amazon
Apply your expertise in quantitative analysis data visualization and datamining 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 crossfunctional teams on the daytoday 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
A day in the life
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. Log in during oncall week to respond to any high severity events and if needed develop short term rules to mitigate impact
About the team
Our team consists of Business Analysts and Risk Mining specialists rolle up under the Account integrity Machine Learning Team. We evaluate instances of organized bad actor account take over and creation of fraudulent accounts on Amazon . We collaborate closely across multiple functions in order to mitigate these attacks through various short and long term solutions.
This role will support existing teams that are based out of Costa Rica India and the US and will enable provision of round the clock coverage of Sev 2 support for AIT.
The role will also be an oncall as per rotation.
4 years of compliance program management legal governance audit risk/loss prevention or equivalent experience
Bachelors 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
Professional auditing qualification or similar risk or compliance credentials
Demonstrated experience using scripting languages like R or Python
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