Risk Specialist

• Bachelor’s degree or equivalent experience
• Minimum 2 years of related experience working with any of the following: risk management, internal or external audit, compliance, financial institutions, or law enforcement agencies
• A self-starter that has demonstrated the ability to work independently
• Ability to exercise judgment when policies are not well-defined
• Familiarity with multiple analytic tools, databases, and techniques.
• Knowledge of multiple search engines and tools in conducting open-source searches
• Ability to function effectively in a dynamic, fast-paced environment
• A passionate individual who possesses strong judgment and good instincts, as well as a curious and inquiring mind and one who earns trust by delivering results
• Demonstrated ability in handling strategic and confidential projects, data-analysis and report writing
• Demonstrated skill and passion for problem solving and operational excellence
• Excellent written and verbal communication skills
• In-depth experience with MS Office, including Outlook, Word, and Excel

Amazon’s Perfect Order Experience team works to ensure that buyers receive authentic products in the condition and with the functionality they are expecting. We design and implement policies, tools, and technology innovations to protect the buying experience on Amazon. Our greatest challenge is protecting Buyer trust without unjustly harming good selling partners. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation.

Our team is looking for a Risk Specialist to implement protections on brands to mitigate fraudulent activity in our marketplaces. As a Risk Specialist, you will be expected to accurately identify gaps and mitigate risks observed in our current mechanisms and policies, and provide recommendations by exercising professional judgement.

An ideal candidate will have the ability to:
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• Compile, organize, prepare, and maintain an assortment of records, reports, and information in an effective manner.

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• Use independent judgement in routine and non-routine situations.

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• Plan, organize, and/or prioritize daily assignments and work activities.

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• Comprehend and apply policies and procedures.

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• In accordance with Amazon’s inauthentic and safety standards, plan, perform, supervise, and coordinate the completion of assigned Perfect Order Experience projects within deadlines

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• Identify gaps and mitigate risks observed in our current mechanisms and policies to increase efficiency and effectiveness of operations by providing recommendations using professional judgement to safeguard Amazon’s global marketplaces.

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• Establish teamwork by liaising with other Perfect Order Experience team members, by disseminating new information and ideas, by accepting constructive feedback, and by proactively engaging in new assignments when appropriate.

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• Understand the work of other team members and challenge their understanding of current mechanisms and policies in order to further mitigate the risk of Buyers receiving inauthentic products.

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• Work closely with stakeholders within Customer and Brand Trust by communicating appropriately to process owners and management during and at the conclusion of project. Perform follow up procedures to ensure agreed-upon controls have been implemented.

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• Prevent Seller Partner friction by maintaining excellent relations with stakeholders and Selling Partners while communicating issues, concerns, and recommendations.

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• Ability to manage multiple competing priorities

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• Ability to prioritize in an ambiguous environment

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• Adept at being a change agent by bringing solutions/ideas to tackle any problem

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Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

• 1-3 years of experience in investigating fraud, abuse, cyber-crimes, or other relevant experience
• Knowledge about retail and social media ecosystems
• Proficiency with analytics and dashboard tools, such as Tableau
• Proficient in SQL, data manipulation
• Fluency in Chinese, German, French, Italian, Spanish, Portuguese, Japanese, Korean, Arabic, Turkish, or another language