Selling Partner Trust and Store Integrity (TSI) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors and Amazon from fraud, counterfeit, and abuse as well as providing world‐class support and building loyalty with Amazon’s millions of selling partners.

The Special Projects and Investigations (SPI) team within TSI protects Amazon customers and stores by launching investigative projects and detection mechanisms aligned to the seller journey to deep dive proactive key events within the bad actor lifecycle. Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, thrive in an environment of ambiguity and change, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.
We catch bad actors and stop online fraud. It’s fun! It’s hard! It matters! We are passionate about protecting our selling partners and customers from bad actors and want a candidate that shares that passion. Amazon is one of the world’s most trusted companies, help us keep it that way! To achieve this, we are looking for an experienced Risk Manager to join our team with a background in risk and data analytics to identity and scale new bad actor behavior trends.
The ideal candidate should be passionate about using and understanding data to discover both known and emerging bad actor trends. You will help ensure customers make great purchase decisions and our selling partners using Amazon are successful listing and selling their products. Your support is not only fundamental to helping protect customers and selling partners but will help maintain the health of Amazon’s catalog and product listings ecosystem.


Key job responsibilities
• Use high-level judgment to identify trends, correlations and anomalies within the selling lifecycle
• Create, validate and scale detection mechanisms through data
• Complete risk analyses using complex data sets (SQL, Python, R etc.)
• Conduct large scale deep dives to derive insights about tactics used to conduct abuse on our stores
• Identifying gaps and risk in Amazon's current mechanisms, systems, and policies
• Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous and fast-moving environment
• Own and/or manage projects designed to improve operational and process efficiency


A day in the life
This role is focused on delivering results through identifying bad actors. Each day is different as new behaviors and trends are constantly discovered. You will be making high judgement decisions and implementing direct mechanisms to stop bad actors on WW stores as early as possible. While identifying commonalities of abuse, you will need to share your observations and trends with partner teams to increase detection coverage. You and the team are on the front lines of protecting Amazon customers and stopping abuse in our stores.

About the team
Our team is comprised of experts in the risk domains like fraud, cybersecurity, data security, internal risk, threat intelligence, regulatory compliance, vendor risk, etc. with strong data analysis and investigation skills. We complement specialized skills with broad risk experiences gathered through years of experience to deliver results - we wear a lot of hats, move quickly, and are frugal to the core by conducting tasks ourselves whenever possible. We speak 15 different languages, value diverse experiences and natural curiosity, and celebrate learning and taking risks. We make mistakes, learn from them, and support each other.

Our work is to solve hard puzzles - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us.