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Amazon

Risk Manager, Selling Partner Identity Verification (SPIV)

Amazon is hiring a Risk Manager, Selling Partner Identity Verification (SPIV) in Seattle, United States. It pays $74k-$130k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions SQL, Python and R among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 21,000+ other open roles on Level.

AI in this role

Manage fraud prevention projects and risk mitigation initiatives using complex data sets and analytics.

sqlpythonrexcel
risk-managementfraud-detectiondata-analysiscompliance
The Selling Partner Identity Verification (SPIV) team is looking for a motivated, data savvy risk manager to act as a force multiplier supporting our team's mitigation and prevention of fraud and abuse. This position will manage a portfolio of Gap prevention projects aimed at finding a balance between making it harder for bad actors to operate on our stores as well as improving the seller experience for genuine sellers. You will interact with partner teams and stakeholders in operations, product, risk, tech, and science roles in order to execute against your projects. An ideal candidate is highly flexible, a strong communicator, and demonstrates significant bias for action, and loves diving deep.



Key job responsibilities
1. Complete risk analyses using complex data sets (SQL, Python, R etc.).
2. Use high-level judgment to own our most complex risk mitigation and prevention initiatives.
3. Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.
4. Use data and/or technical skills to discover new ways to scale risk signals resulting in the identification of abuse risk.
5. Break problems into manageable pieces, meticulously prioritizing, and delivering results in an ambiguous and constantly changing environment.
6. Conduct large scale deep dives to derive insights about abuse, identifying gaps and risk in Amazon's current mechanisms, systems, and policies.
7. Discover solutions and convey detailed technical knowledge (verbally, in writing, and via diagram) to engineering, legal, and program/product management teams


A day in the life
Propose and gain alignment on mitigation and prevention plan with partner team stakeholders.

Launch, monitor and communicate with stakeholders about the progress of current mitigation and prevention.

Influence stakeholders to adopt, integrate, or fix gaps in order to allow sunsetting of existing mitigations.

Monitor reporting of established mechanisms and evaluate for effectiveness.

Inspect metrics and anecdotes to find false positives and false negatives, then develop improvements to address misses.

Listen, learn, engage, communicate, execute, analyze, and influence.


Basic qualifications

- 5+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
- Bachelor's degree or equivalent
- Experience with SQL and Excel

Preferred qualifications

- 3+ years of program or project management experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, AZ, Tempe - 74,200.00 - 129,800.00 USD annually
USA, WA, Seattle - 82,700.00 - 129,800.00 USD annually

How we rate this

Risk Manager, Selling Partner Identity Verification (SPIV) at Amazon rates 10 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Risk ManagementFraud DetectionData AnalysisComplianceSQLPythonRExcel

Questions you could be asked

  1. Tell me about a project where risk management was part of your work. What did you do?
  2. Tell me about a project where fraud detection was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where compliance was part of your work. What did you do?
  5. Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Risk Management, Fraud Detection, Data Analysis, Compliance, and SQL. 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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