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Risk Manager, Selling Partner Identity Verification (SPIV) @ Amazon.com Services LLC

USOnsiteFull-time
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About this role

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 making it harder for bad actors to operate on our stores as well as internal team mechanisms. 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.

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