Role overview
DESCRIPTION
Job summary
Customer Trust & Partner Support (CTPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners 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 Selling Partner Risk (SPR) team within CTPS 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 industry specialist with background in risk, digital fraud, compliance, or cyber investigations who also have advanced technical skills (Cybersecurity, Crypto, security engineering, etc.) or data analysis skills (SQL, Python, Machine Learning, Data Science, etc.). This role will manage critical and high impact projects and scale their findings through technology and analytics (machine learning) to interpret risks across Amazon’s entire business segment or apply other industry 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 using complex data sets (SQL, Python, R etc.)
- Use high-level judgment to own 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 all bad actors and sizing the issue
- Monitor social media and global events to develop awareness of risk trends across multiple industries -ecommerce, technology, financials, healthcare etc.
- Owning the complete life cycle of one or more complex problems - 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 solutions, and drive alignment among stakeholders
- Own partnerships with stakeholder teams and guide appropriate trade-offs, clearly communicate goals, roles and responsibilities.
- Discover solutions. Convey detailed technical knowledge (verbally, in writing, and via diagram) to engineering and program/product management teams
About the team
Our team is comprised of experts in the risk domains like fraud, cybersecurity, data security, internal risk, threat intelligence, regulatory compliance etc. with data analysis and/or technical skills. We complement specialized industry skills with broad risk experiences gathered through years of experience to deliver results - we wear a lot of hats and do things ourselves whenever possible. We speak 7 languages, write code in 3 (mostly self taught, on the job), 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.