Sr. Risk Manager, Sales Abuse, Sales Abuse Prevention
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About The Position
The Selling Partner Trust and Store Integrity 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, a tenacity to get things done, and are capable of breaking down and solving complex problems. The Sales Abuse Prevention team designs and implements policies, tools and technology innovations to protect customers. We are looking for an experienced, motivated Risk Manager with a background in risk, digital fraud, compliance, or cyber investigations who also have advanced data analysis skills (SQL, Data Science) to manage critical and high impact projects. The Risk Manager role for Search Abuse within Sales Abuse Prevention is responsible for discovery and risk mining of new and emerging abuse patterns within Amazon’s Shopping CX. As the Risk Manager over this space, you’ll partner with our team of engineers, research scientists, data scientists and business intelligence engineers to mitigate risks and vulnerabilities across our shopping experiences. You will design, launch, and measure experiments that help drive discovery of the best ASIN selection in our store, while also ensuring compliance with FTC requirements on fair e-commerce business practices. You will be responsible for data mining for emerging abuse patterns on Search’s big datasets and should have advanced data analysis skills (SQL). Your role will ultimately help us ensure that customers have a trustworthy buying experience and that brand owners and selling partners using Amazon are successful in listing and selling their products, competing fairly in our marketplace. Successful candidates will have a keen ability to distill insights from customer research, and form an experimentation plan to address pain points uncovered through anecdote and in-depth data analysis. They will be able to translate these insights into testable experiments to address unmet needs, or improve a particular shopping outcome. They will thrive in an environment with lots of opportunity to invent new approaches, while moving fast and learning from prior experiments. They should be comfortable working in a collaborative, creative, analytical, and fast-paced environment and interacting with senior leaders, technical software development teams, design teams, research teams, science and business intelligence teams.
