Description

　　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 industry specialist with background in risk, digital fraud, compliance, or cyber investigations who also have advanced 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 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 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 specialist 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.

　　We are open to hiring candidates to work out of one of the following locations:

　　Seattle, WA, USA

　　Basic Qualifications

　　• Bachelor’s or postgraduate degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics or related discipline.

　　• 3+ years of relevant industry experience in risk or fraud investigations, regulatory compliance, ecommerce, analytics, or security

　　• Proficient with deriving insights from big data using SQL & experience manipulating/processing data with Python

　　• Proven ability to deliver complex projects across multiple teams

　　Preferred Qualifications

　　• Experience working in e-commerce organizations

　　• Experience working within fraud, compliance, law enforcement, or intelligence organizations

　　• Experience with AWS services like Redshift, Neptune or Sagemaker

　　• Masters degree in or practical experience with data science or machine learning

　　• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences.

　　• High level of integrity and discretion to handle confidential information.

　　• Exceptional ownership and bias for action: willing to move quickly and decisively

　　• Proven ability to problem solve in large/complex/technical systems

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,800/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.