Risk Mining Analyst II, Account Integrity

Amazon is hiring a Risk Mining Analyst II, Account Integrity in San Jose, United States. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions SQL, AWS and BI Tools among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

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

Amazon’s Account Integrity team (AIT) within the Customer Partner Trust organization is looking for a passionate, results-oriented 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 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 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.

How we rate this

Risk Mining Analyst II, Account Integrity at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Risk Mining Analyst II, Account Integrity is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in CR, San Jose.
The job was posted on September 21, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

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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