Role at a glance
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Education
- Bachelor's, Master's
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We’ll check it against the original posting.
Qualifications
Required
- 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.
About the role
Original posting provided by amazon
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, such that customers and selling partners across the globe trust us and have confidence in the integrity of Amazon's store.
Amazon is seeking a highly analytical, strategic, and transformative Senior Risk Manager to lead our Entity Risk Strategy. This team is tasked with protecting Amazon's brand reputation, customer trust, and partner relationships by identifying, evaluating, and mitigating complex risks that transcend traditional platform boundaries.
In this role, you will own the overarching strategy to detect, assess, and resolve cross-account risks across Amazon's ecosystem, including Sellers, Buyers, Brands, Vendors, Amazon Pay (APay), and other account types. You will move beyond traditional siloed risk frameworks to establish a unified, entity-level risk assessment and governance structure. As a principal-level domain expert, you will build the scalable detection logic and resolution frameworks that connect disparate signals into a comprehensive defense, collaborating with senior leadership across Science, Engineering, Risk, Legal, Public Relations, and Global Operations to deploy global-scale mitigations against complex bad-actor networks.
Key job responsibilities
Unified Entity Strategy: Define and execute the multi-year strategy for a holistic, entity-level risk framework that maps and assesses threat surfaces across interconnected Seller, Buyer, Brand, Vendor, APay, and other account ecosystems.
Scalable Resolution Frameworks: Architect and enforce end-to-end policy, enforcement, and remediation frameworks that allow operational teams to execute precise, coordinated actions against related bad-actor networks.
Cross-Functional Stakeholder Alignment: Drive architectural alignment and policy consensus across specialized risk domains (e.g., Identity Risk, Financial Risk, Brand Protection, Payments Compliance) to ensure a unified defensive posture.
Data Automation and Architecture Integration: Partner with Data Science and Engineering teams to translate complex network insights and cross-account signals into automated feature engineering pipelines, graph structures, and machine learning models.
Governance and Executive Reporting: Maintain a comprehensive view of systemic cross-account vulnerabilities, authoring high-visibility executive whitepapers (Amazon 6-pagers) and presenting status metrics directly to VPs and Directors.
- 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.
- 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.
USA, WA, Seattle - 121,200.00 - 163,900.00 USD annually
Amazon is seeking a highly analytical, strategic, and transformative Senior Risk Manager to lead our Entity Risk Strategy. This team is tasked with protecting Amazon's brand reputation, customer trust, and partner relationships by identifying, evaluating, and mitigating complex risks that transcend traditional platform boundaries.
In this role, you will own the overarching strategy to detect, assess, and resolve cross-account risks across Amazon's ecosystem, including Sellers, Buyers, Brands, Vendors, Amazon Pay (APay), and other account types. You will move beyond traditional siloed risk frameworks to establish a unified, entity-level risk assessment and governance structure. As a principal-level domain expert, you will build the scalable detection logic and resolution frameworks that connect disparate signals into a comprehensive defense, collaborating with senior leadership across Science, Engineering, Risk, Legal, Public Relations, and Global Operations to deploy global-scale mitigations against complex bad-actor networks.
Key job responsibilities
Unified Entity Strategy: Define and execute the multi-year strategy for a holistic, entity-level risk framework that maps and assesses threat surfaces across interconnected Seller, Buyer, Brand, Vendor, APay, and other account ecosystems.
Scalable Resolution Frameworks: Architect and enforce end-to-end policy, enforcement, and remediation frameworks that allow operational teams to execute precise, coordinated actions against related bad-actor networks.
Cross-Functional Stakeholder Alignment: Drive architectural alignment and policy consensus across specialized risk domains (e.g., Identity Risk, Financial Risk, Brand Protection, Payments Compliance) to ensure a unified defensive posture.
Data Automation and Architecture Integration: Partner with Data Science and Engineering teams to translate complex network insights and cross-account signals into automated feature engineering pipelines, graph structures, and machine learning models.
Governance and Executive Reporting: Maintain a comprehensive view of systemic cross-account vulnerabilities, authoring high-visibility executive whitepapers (Amazon 6-pagers) and presenting status metrics directly to VPs and Directors.
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 Qualifications
- 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
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.