Sr Risk Manager, Selling Partner Identity Verification
Amazon
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This role on the market
594 open verification roles across 40 companies are on ApplySarthi right now, most of them in Bengaluru (128), Hyderabad (55), Pune (9).
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What verification roles keep asking for: Python (39%), Perl (23%), C++ (18%) — counted across their open postings here.
Risk Manager jobs in the United States · LLMs jobs · Machine learning jobs · SQL jobs
Amazon has 15,662 open roles listed here.
- Applied Scientist 2, Prime Video & Studios CoreTechbengaluru
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- Senior Associate – Catalog, RBS
- Senior Associate – Catalog, RBS
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Counted across 14 company job boards, updated as roles open and close.
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Interviews for verification roles keep coming back to Python, Perl, C++. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
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- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
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Practise the Sr Risk Manager, Selling Partner Identity Verification at Amazon interview free →The Selling Partner Trust and Store Integrity (TSI) org is committed to our vision that bad actors cannot operate in our store while selling partners start and grow their business without fear of disruption, Basic qualifications: - Bachelor's degree or equivalent - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - 5+ years of hands-on experience designing risk detection strategies specifically targetting cross-account relationships, seller, brand, vendor and other or complex multi-entity fraud networks. - Experience developing risk coverage frameworks and detection logic that directly feed into automated mitigation engineering/Science pipelines. Preferred: - Master's degree or equivalent - Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience in data analytics or automation - Technical familiarity with graph databases or network topology tools used to visualize multi-entity structures. 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, WA, Seattle - 121,200.00 - 163,900.00 USD annually
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Listed on amazon · posted 2026-10-08. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.