TwilioRemote · Remote - US
just now
AmazonPosted 3d ago
L1
Risk Mining Analyst II, Account Integrity
Risk Mining Analyst II, Account Integrity at Amazon scores 25 out of 100 on AI centrality, which makes it a Level 1 role on this board.
CR, San Josemidfull-time
AI in this role
Analyze large data sets, detect fraud anomalies, and deploy risk rules while utilizing internal AI tools and IDEs.
sqlawsbi-tools
data-analysisrisk-managementfraud-detectionquantitative-analysisdata-mining
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.
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 on-call during rotation weeks to respond to high severity events impacting Amazon
- 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
- 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
1. Review instances of bad actor account activity and create mechanisms to stop them
2. Report on fraud and abuse trends and improve products
3. Create and maintain dashboards that detect and inform stakeholders (such as downstream payment and abuse product owners) on how to stop fraud
4. Participate and lead process improvement initiatives across account integrity teams
5. Develop rules to mitigate bad actor activity
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.
Basic qualifications
- 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
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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Data AnalysisRisk ManagementFraud DetectionQuantitative AnalysisData MiningSqlAwsBi Tools
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where quantitative analysis was part of your work. What did you do?
- Tell me about a project where data mining was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Risk Management, Fraud Detection, Quantitative Analysis, and Data Mining. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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