Key job responsibilities
• Complete risk analyses using complex data sets (SQL, Python, R etc.).
• Use high-level judgment to own our most complex internal risk investigations.
• 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 risk signals resulting in the identification of all bad actors.
• Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous and constantly changing 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.
• Discover solutions and convey detailed technical knowledge (verbally, in writing, and via diagram) to engineering, legal, and program/product management teams
About the team
The Trust & Store Integrity team (TSI) 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 empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. The Special Projects and Investigations (SPI) team within TSI 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, 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.
Our team is comprised of experts in risk domains such as fraud, cybersecurity, data security, insider risk, regulatory compliance, etc. with a strong dependence on data analysis and or technical skills. We complement specialized industry skills with broad risk experiences gathered through years of experience to deliver results. 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.
BASIC QUALIFICATIONS
• Bachelor's degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics or related experience.
• 5+ years of relevant security industry experience in handling risk, fraud investigations, or regulatory compliance.
• Highly proficient in data analysis (SQL or experience with multi-terabyte and petabyte relational databases) or scripting (i.e. Python, R, MATLAB).
• High level of integrity and discretion to handle confidential information.
• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences.
• Demonstrated analytical and quantitative skills using hard data and metrics to back up assumptions and develop business cases.
• Proven ability to deliver complex projects across multiple teams.
• Excellent leadership, negotiation, teamwork, and collaboration skills.
• Strong critical thinker with the vision to work both tactically and strategically.
• Experience implementing repeatable processes and automation or standardization.
• Proficiency in Microsoft Excel.
PREFERRED QUALIFICATIONS
• Experience working in fast paced e-commerce organizations.
• Experience working within fraud, compliance, law enforcement, or intelligence organizations.
• Experience in adjacent domain areas like network engineering, Infosec, software development for e-commerce, or work involving software for API's or web scraping.
• Experience working with Threat Intelligence teams, threat modeling and familiarity with open source intelligence (OSINT).
• Master’s degree in or practical experience with data science or machine learning.
• Experience with AWS cloud solutions.
• Experience in Data Sciences, Machine Learning, or Artificial Intelligence.
• CISSP Certification or experience in multiple CISSP knowledge areas
• Demonstrated experience in areas such as digital forensics or internal investigations.
• Language proficiency welcomed (Mandarin, Russian, Japanese, or Spanish).
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 $196,300/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.