The Customer Trust (CT) mission is to keep Amazon stores safe and trustworthy for our buyers, brands and selling partners, by enabling our selling partners to provide great CX while ensuring bad actors are kept out of our stores. The Selling Partner Risk (SPR) team within CT designs and implements policies, tools and technology innovations to protect customers by identifying and preventing abuse worldwide. 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 investigator with a background in risk, digital fraud, compliance, cybercrime, or cyber investigations who also have data analysis skills (SQL, Python, Machine Learning, Data Science). This role will manage critical and high impact projects and scale their findings through technology and analytics to interpret risks across Amazon’s entire business segment or apply other risk experience to develop feasible, systematic solutions to endemic problems. The ideal candidate should be passionate about use of advanced data analytics and technology approaches to identify patterns and establish connections to uncover process and technology gaps and prevent fraud across Amazon stores worldwide. Your decisions are 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
• Complete risk analyses and manipulate data in complex data sets (SQL, Python, R etc.)
• Use high-level judgment to inform our most complex enforcement decisions
• Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.
• Use data and/or technical skills to discover new ways to scale deep dive signals resulting in the identification of many bad actors and sizing the issue
• Owning the complete life cycle of one or more complex problems - from identification through scaling the solutions
• Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment
• 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
• Write documents for partner teams and executives that identify problems, propose technical solutions, and drive alignment among stakeholders
• Own partnerships with stakeholder teams and guide appropriate trade-offs, clearly communicate goals, roles and responsibilities.

About the team
Our team is comprised of specialists from many different backgrounds primarily focused around risk management, fraud, and information security. We leverage our individual strengths to solve large enduring problems through data that require long-term focus and ownership. We uncover the root cause of these problems by constantly identifying changes in behavior and new patterns or trends that deviate from the norm. We work quickly and can pivot to address new emerging threats. We enjoy the challenge of investigating the unknown areas of fraud and abuse and support multiple partner teams in raising the bar to improve detection and proactively find bad actors across our stores.

Key job responsibilities
• Complete risk analyses and manipulate data in complex data sets (SQL, Python, R etc.)
• Use high-level judgment to inform our most complex enforcement decisions
• Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.
• Use data and/or technical skills to discover new ways to scale deep dive signals resulting in the identification of many bad actors, and sizing the issue
• Owning the complete life cycle of one or more complex problems - from identification through scaling the solutions
• Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment
• 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
• Write documents for partner teams and executives that identify problems, propose technical solutions, and drive alignment among stakeholders
• Own partnerships with stakeholder teams and guide appropriate trade-offs, clearly communicate goals, roles and responsibilities.

A day in the life
As a risk manager, will own and support various investigations related to external bad actor enforcement and egregious fraud. The job entails conducting deep dives to derive insights about tactics used to conduct abuse, owning partnerships with legal stakeholders to define strategy, and working with partner teams to propose and drive solutions. We drive real world impact by facilitating the enforcement of bad actors and disrupting ecosystems.

About the team
Our team is comprised of experts from many different backgrounds primarily focused around risk management, fraud, and information security. We leverage our individual strengths to solve large enduring problems through data that require long-term focus and ownership. We uncover the root cause of these problems by constantly identifying changes in behavior and new patterns or trends that deviate from the norm. We work quickly and can pivot to address new emerging threats. We enjoy the challenge of investigating the unknown areas of fraud and abuse and support multiple partner teams in raising the bar to improve detection across our stores.

Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.