Internal Risk Specialist, SPS Internal Risk

3 days ago


Seattle, Washington, United States Amazon Full time
About the Role

We are seeking an experienced security industry specialist to join our team as an Internal Risk Specialist. As a key member of our Special Projects and Investigations (SPI) team, you will be responsible for managing critical and high-impact investigations and projects, and scaling your findings through technology and analytics to interpret risks across Amazon's entire business segment.

Key Responsibilities
  1. Complete risk analyses using complex data sets, including SQL, Python, and R.
  2. Use high-level judgment to own our most complex internal risk investigations.
  3. Identify gaps and risks in Amazon's current mechanisms and policies, and recommend solutions to product/policy owning teams.
  4. Use data and/or technical skills to discover new ways to scale risk signals, resulting in the identification of all bad actors.
  5. Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous and constantly changing environment.
  6. 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.
  7. 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.

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.

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 APIs or web scraping.
  • Experience working with Threat Intelligence teams, threat modeling, and familiarity with open-source intelligence (OSINT).
  • Masters 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).


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