Amazon.com Inc logo

Intelligence Analyst II, Buyer Threat Intelligence Unit

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago
    Want to know if you’re a fit?
    Upload your resume and let our AI show you.

    Skills

    • Analysis Skillsunmatched
    • Automationunmatched
    • Campaignsunmatched
    • Cross-Functionalunmatched
    • Cryptographyunmatched
    • Ecosystemsunmatched
    • Environmental Researchunmatched
    • Fraud Investigationunmatched
    • Intelligence Gatheringunmatched
    • Internet Researchunmatched
    • Law Enforcementunmatched
    • Leadershipunmatched
    • Legalunmatched
    • Machine Toolunmatched
    • Mentoringunmatched
    • Mining Engineeringunmatched
    • Operations Security (OPSEC)unmatched
    • Organizational Skillsunmatched
    • Prismunmatched
    • Process Improvementunmatched
    • Purchasing/Procurementunmatched
    • Riskunmatched
    • Risk Analysisunmatched
    • Scripting (Scripting Languages)unmatched
    • Team Buildingunmatched
    • Team Lead/Managerunmatched
    • Web Analyticsunmatched

    Description

    The Buyer Fraud Intelligence Unit (BFIU) within PRISM SWAT is seeking a Threat Intelligence Analyst to lead a net-new intelligence function within Buyer Risk Prevention (BRP). This role is responsible for proactively identifying, analyzing, and disrupting emerging buyer-related threats to Amazon through systematic intelligence gathering across dark web marketplaces, encrypted channels, and fraud-as-a-service platforms. You will establish investigation methodology, tradecraft standards, and tooling workflows while also delivering actionable intelligence that feeds directly into detection rules, ML model retraining, and Legal referrals.

    This position is open to both internal and external candidates. Internal candidates with strong fraud investigation foundations and a willingness to develop specialized tradecraft are encouraged to apply.

    Key job responsibilities

    • Dark Web & Deep Web Intelligence Collection: Monitor and analyze dark web marketplaces, carding forums, private Telegram channels, Discord servers, and paste sites for Amazon-specific exploitation techniques and emerging fraud modus operandi.
    • Threat Actor Profiling: Identify, profile, and track threat actors, fraud-as-a-service providers, and organized fraud rings targeting Amazon"s buyer ecosystem.
    • Fraud MO Investigation & Reporting: Produce 1 comprehensive fraud modus operandi investigation report per month for Legal, including threat actor attribution, technical indicators, and estimated business impact.
    • Tradecraft & Methodology Leadership: Establish and maintain investigation methodology, operational security standards, and tooling workflows for the BFIU team.
    • Mentorship & Team Development: Serve as team lead, mentoring fellow analysts, and building toward independent investigation capability across the team.
    • Cross-Functional Collaboration: Partner with ML, Risk Mining, Engineering, Legal, and Law Enforcement teams to operationalize intelligence findings into detection rules, model features, and enforcement actions.
    • Law Enforcement Coordination: Establish and maintain referral pathways with CPE, SPI-External Enforcement, and external law enforcement agencies.
    • Urgent Threat Alerts: Issue real-time alerts when active exploitation campaigns targeting Amazon buyers are detected, enabling immediate defensive response.
    • Tooling & Automation: Drive adoption and optimization of intelligence platforms (Flashpoint, Maltego) and build custom collection scripts and enrichment pipelines.

    A day in the life

    You move between deep web research, cross functional collaboration, and intelligence production. You might be tracking a fraud tutorial on a carding forum, mapping threat actor infrastructure using link analysis tools, or walking the ML team through the exact system decision points a fraud MO exploits. You mentor analysts on tradecraft and OPSEC, finalize evidence packages for Legal, and update threat actor profiles as new intelligence emerges. Some days are heads-down research in adversarial environments; others are translating findings into detection rules with engineering partners. The constant: your work disrupts threats before they reach scale.

    About the team

    The Buyer Threat Intelligence Unit (BTIU) within Buyer Risk Prevention proactively identifies and disrupts buyer-related threats to Amazon through deep and dark web intelligence gathering. While most risk teams detect fraud after it impacts our ecosystem, BTIU operates upstream finding threats at their source in communities before they reach scale. We deliver threat actor attribution to Legal for enforcement and technical methodology breakdowns to detection teams for defensive response. This is a ground-floor opportunity to build a new intelligence function with direct leadership visibility and investment in your growth.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Similar Jobs

    See more jobs