Amazon.com Services LLC

Investigation Loss Prevention, Risk Family, selling partner services

IntelligenceAnalystII

$83–130k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Intelligence Analyst II at Amazon.com Services LLC. Skills: Threat intelligence, Fraud investigation, Dark web collection, ML integration. Monitor dark web marketplaces. Analyze dark web marketplaces”

What You'll Achieve.

Disrupt threats before scale

Industry & Context.

Investigation Loss Prevention, Risk Family, selling partner services
Problems you'll solve

Disrupting threats; Investigative research

What They're Looking For.

Must Have

5+ years experience, Proficiency with OSINT, Knowledge of fraud ecosystems, Familiarity with payment systems, Handle confidential information, Establish partnerships

Nice to Have

Experience dark web collection, Operational security expertise, Experience with threat intelligence frameworks, Experience with intelligence platforms, Relationships with law enforcement, Experience building threat intelligence function, Produce court-ready evidence, Integrate threat intelligence into ML pipelines, Experience with link analysis tools

What You'll Do.

Monitor dark web marketplaces

Analyze dark web marketplaces

Identify threat actors

Profile threat actors

Produce fraud MO reports

Establish investigation methodology

Maintain investigation methodology

Establish operational security standards

Maintain tooling workflows

Mentor fellow analysts

Build independent investigation capability

Partner with ML teams

Partner with Risk Mining teams

Partner with Engineering teams

Partner with Legal teams

Partner with Law Enforcement teams

Establish referral pathways

Issue real-time alerts

Drive adoption of intelligence platforms

Optimize intelligence platforms

Build custom collection scripts

Build enrichment pipelines

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Partner with ML; Partner with Risk Mining; Partner with Engineering; Partner with Legal; Partner with Law Enforcement; Law enforcement coordination; Intelligence sharing communities

Communication Scope

Intelligence production; Reporting

Full Job 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, a

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