Amazon has built a reputation for excellence with recent examples of being named the #1 most trusted company for customers. To deliver on this reputation for trust the Selling Partner Abuse team is tasked with identifying and preventing abuse for our customers and brand owners worldwide. Our growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.
The Risk Mitigation, Escalation Reduction, and Quality Assurance (REs-Q) team is responsible for managing escalations related to suspected Selling Partner fraud and abuse on Amazon stores. Our team conducts thorough investigations, identifies the root causes of escalations, and drives initiatives across global program teams to prevent recurring issues. By leveraging front-line insights from Selling Partner escalations, we contribute unique perspectives to programs within the Selling Partner Services (SPS) organization.
The EMP team is dedicated to designing and implementing policies, tools, and technological innovations that safeguard customers. We are seeking a highly analytical and proactive Risk Manager to join our Process Efficiency and Escalation Reduction (PEER) team within REs-Q division. This role will be instrumental in delivering cross-functional projects aimed at optimizing processes, reducing escalations, and mitigating risks across the organization.
Key job responsibilities
1. Lead risk assessment and management initiatives for cross-functional projects within the PEER team.
2. Develop and implement risk mitigation strategies to support process efficiency and escalation reduction goals.
3. Collaborate with stakeholders across various departments to identify potential risks and opportunities for improvement.
4. Design and maintain key performance indicators (KPIs) and metrics to measure the effectiveness of risk management strategies and process improvements.
5. Conduct regular risk audits and provide detailed reports to senior management.
6. Create and deliver risk management training programs for team members and stakeholders.
7. Stay current with industry best practices and regulatory requirements related to risk management.
8. Contribute to the development and implementation of risk management policies and procedures.
9. Utilize data analytics tools to identify trends, patterns, and potential risk factors in processes and escalations.
10. Participate in cross-functional project teams to ensure risk considerations are integrated into project planning and execution.
- Bachelor's degree in Business Administration, Finance, Risk Management, or a related field.
- Strong understanding of process improvement methodologies (e.g., Six Sigma, Lean).
- Excellent analytical skills with a proven ability to work with complex data sets and derive meaningful insights.
- Experience in developing and tracking key performance metrics and risk indicators.
- Strong project management skills with the ability to lead cross-functional initiatives.
- Excellent communication and interpersonal skills, with the ability to influence stakeholders at all levels of the organization.
- Advanced proficiency in Excel, and data analysis tools.
- Strong understanding of statistical analysis and its application in risk assessment.
- Familiarity with enterprise risk management frameworks and standards.
- Ability to translate complex risk concepts into actionable insights for non-technical audiences.
- Experience in process mapping and optimization techniques.
- Knowledge of regulatory compliance requirements relevant to the industry
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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