Amazon.com LLC

Systems, Quality, Security Engineering, Systems Security Engineering, selling partner services

Sr.SecurityEngineerIII,ThreatIntelligence,BuyerRiskPrevention,PaymentRiskteam

$143–248k Seattle, Washington, United States FULL TIME
The Brief

“Sr. Security Engineer III, Threat Intelligence, Buyer Risk Prevention, Payment Risk team at Amazon.com LLC. Skills: Threat intelligence, Fraud detection, Security architecture, ML/AI. Identify sophisticated fraud syndicates. Disrupt sophisticated fraud syndicates”

What You'll Achieve.

Deliver scalable security outcomes; Measurable business impact

Industry & Context.

Systems, Quality, Security Engineering, Systems Security Engineering, selling partner services
Problems you'll solve

Root cause analysis; Troubleshooting; False positive/negative balancing; Signal verification

What They're Looking For.

Must Have

8+ years fraud detection, 8+ years forensic data science, 8+ years applied security roles, Proven security design experience, Proven architecture decisions experience, Python programming proficiency, SQL programming proficiency, Familiarity with ML / AI, Deep understanding data structures, Deep understanding access patterns, Deep understanding detection signal sources, Experience collaborating with SDEs, Experience collaborating with Data Scientists, Design ML-powered detection systems, Deploy ML-powered detection systems, Optimize ML-powered detection systems, Design risk scoring systems, Deploy risk scoring systems, Optimize risk scoring systems, Navigate ambiguity, Make long-term tradeoffs, Deliver scalable security outcomes, Communication skills, Documentation skills, Write PRFAQs, Write COEs, Write law enforcement referrals, Write risk deep-dives, Write executive briefings, Experience handling incident escalations, Design SOPs, Implement operational pipelines, Familiarity with security considerations AI/ML, Familiarity with model manipulation, Familiarity with false positive/negative balancing, Familiarity with signal verification, Lead without authority, Drive alignment across teams, Influence decision-making

Nice to Have

Experience with large-scale fraud detection systems, Experience with ML/AI models, Experience with synthetic identity models, Experience with collusion models, Experience with criminal network disruption models, Knowledge on threat intelligence, Gather adversary signals, Interpret adversary signals, Dark web monitoring, Infrastructure analysis, Familiarity building AI/ML detection techniques, Familiarity evaluating AI/ML detection techniques, Experience writing strategy documents, Participate in OP1/OP2, Shape organizational planning, Shape resourcing, Background managing law enforcement escalation, Background managing cross-functional investigation workflows, Experience shaping security organizational structures, Experience shaping hiring strategies

What You'll Do.

Identify sophisticated fraud syndicates

Disrupt sophisticated fraud syndicates

Drive upstream risk evaluation initiatives

Drive bad actor network analysis initiatives

Drive coordinated abuse prevention initiatives

Protect Amazon's global payment ecosystem

Protect Amazon's marketplace ecosystem

Lead fraud detection systems design

Lead fraud detection systems implementation

Lead abuse detection systems design

Lead abuse detection systems implementation

Architect security solutions

Drive cross-functional initiatives

Enable business growth

Maintain customer experience

Lead threat prevention

Lead continuous risk evaluation

Design upstream risk evaluation strategies

Implement upstream risk evaluation strategies

Evaluate payment instruments

Evaluate wallet additions

Identify bad actor syndicates

Disrupt bad actor syndicates

Gather dark web intelligence

Analyze dark web intelligence

Consolidate detection models

Improve ML performance

Design automated systems

Ingest identified risks

Action identified risks

Establish investigation workflows

Establish evidence collection processes

Build intelligence sharing mechanisms

Drive proactive defense strategies

Architect security solutions that scale

How You'll Work.

Team & Collaboration

Partner with leadership; Collaborate with SDEs; Collaborate with Data Scientists; Partner teams; Technical teams; Non-technical teams

Communication Scope

Executive briefings; Risk deep-dives; Law enforcement referrals; COEs; PRFAQs

Process & Methodology

Organizational planning, Resourcing

Free ATS check

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