Risk Manager I, Risk Mining

Trento 04-10-2025

Risk Manager I, Risk Mining

Amazon Trento 04-10-2025
Riassunto

Località

Trento

Divisione Aziendale

Tipo di contratto

Data di pubblicazione

04-10-2025

Descrizione Lavoro

OverviewThe Seller Partner Identity Verification team is responsible for knowing who we’re doing business with. We do this by applying a thorough verification process at key points during the seller or vendor lifecycle as well as deploying bad actor detection and enforcement. We organize this work into five programs aligned with different stages of the seller and vendor journeys. Within SPIV, the Registration and Verification team seeks to stop bad actors from gaining access to our store by providing proactive and customized registration and verification services. Our mission is that we build trust by protecting our customers, selling partners, and our store from bad actors.Key job responsibilitiesConduct investigations into allegations of organized fraud or abuse on and off the Amazon platform.Use a combination of manual and automated tools to obtain information & reporting bugs and tool improvement ideas.Take appropriate action to identify and help minimize the risk posed by fraud or abuse patterns and trends.Perform dive-deep into the tasks reported through trouble tickets, checking registration history of sellers etc.Perform dive-deep by taking samples of sellers from the queues in case anomalies or unexpected queue spikes are observedFlag new risk attributes to automation team and suggest changes in SOP if the process requires enhancement to close loop holes for bad actors.Basic QualificationsChinese language proficiency requiredBachelor's degree or equivalent2+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience2+ years of banking industry experience with specialization in fraud risk managementProficiency in SQL and Microsoft ExcelAbility to organize and manage multiple tasks simultaneously, and to facilitate multiple discussions.Self-driven & motivated individual with demonstrated ability to perform well independently and as part of a teamPreferred QualificationsBachelor’s Degree in any quantitative discipline such as Computer Science, Statistics, Operational Research or EngineeringExperience working in Analytics / Business Intelligence environmentExperience/knowledge of advanced machine learning techniques such as GBM, random forest, etc.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.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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