DESCRIPTION

Buyer Abuse Prevention, are seeking an experienced Threat Intelligence Security Engineer to partner with Amazon’s Payment Risk threat intelligence team (VIPER) in identifying and disrupting sophisticated fraud syndicates. You will drive critical initiatives across upstream risk evaluation, bad actor network analysis, and coordinated abuse prevention to protect Amazon’s global payment and marketplace ecosystem.
As the Threat Intelligence SecEng with VIPER you will lead the design and implementation of end-to-end fraud and abuse detection systems, architect security solutions, drive cross-functional initiatives, and establish frameworks that protect our customers while enabling business growth and maintaining customer experience.
Key job responsibilities

As a key member of VIPER, you will lead our north star goal in threat prevention and continuous risk evaluation, partnering with leadership to design and implement upstream risk evaluation strategies, including:

• Continuous evaluation systems for payment instruments and wallet additions
• Proactive/reactive risk assessments of businesses and stores
• Bad actor syndicate identification and disruption
• Dark web intelligence gathering and analysis
• Cross-functional initiatives to consolidate detection models and improve ML performance across identity and payment surfaces
• Design automated systems for ingesting and actioning identified risks from partner teams (SPI, Transaction Trust)
• Establish investigation workflows and evidence collection processes for law enforcement referrals
• Build privacy-preserving intelligence sharing mechanisms
• Drive proactive defense strategies based on emerging threat actor TTPs
• Architect security solutions that scale across Amazon’s global marketplace

BASIC QUALIFICATIONS

• • 8+ years of experience in fraud detection, forensic data science, or applied security roles in large-scale technical environments.
• • Proven experience owning security design and architecture decisions for complex systems.
• • Strong programming proficiency in Python, SQL, and familiarity with ML / AI.
• • Deep understanding of data structures, access patterns, and detection signal sources across Amazon’s trust, account, and payment systems.
• • Experience collaborating with Software Development Engineers and Data Scientists to design, deploy, and optimize ML-powered detection or risk scoring systems.
• • Demonstrated ability to navigate ambiguity, make long-term tradeoffs, and deliver scalable security outcomes with measurable business impact.
• • Strong communication and documentation skills — able to write PRFAQs, COEs, law enforcement referrals, risk deep-dives, and executive briefings.
• • Experience handling incident escalations, designing SOPs, and implementing operational pipelines for investigations or enforcement.
• • Familiarity with security considerations in AI/ML systems, including model manipulation, false positive/negative balancing, and signal verification.
• • Proven ability to lead without authority, drive alignment across technical and non-technical teams, and influence decision-making in partner organizations.

PREFERRED QUALIFICATIONS

• • Experience with large-scale fraud detection systems and ML/AI models, especially those focused on synthetic identity, collusion, or criminal network disruption.
• • Knowledge on threat intelligence (gather and interpret adversary signals), including dark web monitoring, and infrastructure analysis.
• • Familiarity with building or evaluating AI/ML-based detection techniques (e.g., GNNs, anomaly detection).
• • Experience writing strategy documents, participating in OP1/OP2, and helping shape organizational planning or resourcing.
• • Background in managing law enforcement escalation processes and cross-functional investigation workflows.
• • Experience contributing to or shaping security organizational structures and hiring strategies.
  Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
  Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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

Please refer the Job description for details