DESCRIPTION

We are seeking an experienced cyber security and risk management leader with proven expertise in cyber security, eCommerce fraud investigations and risk mining (SQL, Python, Machine Learning, Data Science, etc.) to join The Trust & Store Integrity team (TSI) within SPS (Selling Partner Services).

The individual in this role will lead a team of experts to investigate complex fraud schemes and prevent bad actors from committing fraud on our stores. The Sr. Security Industry Specialist is responsible for setting team goals, defining metrics to measure progress, and providing strategic consultation and guidance on emerging fraud trends in eCommerce, cyber security and compliance domains. An Individual in this role will own a portfolio of critical and high impact risk investigations and root cause analysis projects to scale their impact through technology and analytics (SQL, Python, machine learning). Further, an individual in this role is responsible to interpret and connect risks across Amazon’s multiple businesses and drive implementation of systematic solutions to solve endemic problems.

The ideal candidate should be passionate about building teams (hiring, developing etc.), setting mechanisms to deliver results in a fast-paced environment, solving highly ambiguous risk problems through use of advanced data analytics and technology. They will lead their team to identify risk patterns, uncover process and technology gaps to prevent fraud at scale across Amazon stores worldwide. To be successful, the candidate must possess a customer-oriented attitude; have the highest standards of professionalism; and thrive in a work environment where everyone’s views are respected and valued.

Key job responsibilities
• Complete risk analyses using complex data sets leveraging SQL, Python, R etc.
• Build cross-team mechanisms to drive effective teamwork, communication, and collaboration across multiple groups with competing priorities.
• Develop an in-depth understanding of the drivers for complex fraud schemes and create scalable processes for partner teams to understand the root cause of fraud risks in Amazon’s internal business workflows and systems.
• Define the metrics, measurements and analytical tools to quantify impact and surface area of risk and drive efforts to reduce those risks.
• Advocate on behalf of Customers, Brands, and Selling Partners through the identification of gaps to prevent abuse, and drive resolution of the most impactful issues with the teams that own the product/application.
• Partner with cross-functional teams of technical and non-technical stakeholders to define strategy, communicate, and drive progress across multiple initiatives
• Anticipate bottlenecks, escalate effectively, anticipate and make tradeoffs to balance the business impact versus resource constraints.
• Communicate program issues and status in a concise, accurate, and professional manner to all level of leaderships.
• Remain flexible to changing priorities, open to new ideas and have Amazon’s success firmly in your focus.
• 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 to share with partner teams and leadership team to provide progress update, propose new solutions, and drive alignment among stakeholders About the team

About the team
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. We embrace our differences and 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. We design and implement policies, tools and innovative technology solutions to protect customers by identifying and preventing abuse worldwide.

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to help each team member develop into a better-rounded professional.

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 with 7+ years of relevant industry experience handling cyber security risks, 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).
• 5+ years of team management experience in information security, access controls, fraud, cybersecurity, or regulatory compliance.
• Proven history of managing talent and coaching team members to grow their career in technical and non-technical roles.
• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences.
• Proficient with data (SQL or experience with relational databases) or technology (i.e. Python, R, MATLAB).
• 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.
• Demonstrated experience in delivering complex projects across multiple teams.
• Technical knowledge in at least one security domain such as access controls, engineering, system and network security, authentication, or security protocols.
• High level of integrity and discretion to handle confidential information.
• CompTIA Security certification or other cyber security certifications

PREFERRED QUALIFICATIONS

• Master’s degree in computer science, information security, Data science/Analytics, Engineering, Mathematics, Statistics with 7+ yrs of relevant industry experience in handling cyber security risks, fraud investigations, or regulatory compliance.
• 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).
• 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,100/year in our lowest geographic market up to $252,700/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.

USA, WA, Seattle