Scaled Abuse Specialist, Risk

About the role

The Special Projects & Investigations team is looking for an experienced, motivated Scaled Abuse Specialist with a background in risk, digital fraud, compliance, and advanced data analysis skills. This role will manage critical and high-impact projects, scaling findings through technology and analytics to interpret risks across Amazon’s entire business segment.

Selling Partner Trust and Store Integrity (TSI) creates a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors, and Amazon from fraud, counterfeit, and abuse. The Special Projects and Investigations (SPI) team within TSI protects Amazon customers and stores by applying systems thinking to understand how networks of users interact with multiple services.

Responsibilities

• Complete risk analyses and manipulate data in complex data sets (SQL, Python, R, etc.)
• Use high-level judgment to inform complex enforcement decisions
• Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams
• Use data and/or technical skills to discover new ways to scale deep dive signals, resulting in the identification of many bad actors and sizing the issue
• Own the complete life cycle of one or more complex problems - from identification through scaling the solutions
• Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment
• 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
• Write documents for partner teams and executives that identify problems, propose technical solutions, and drive alignment among stakeholders
• Own partnerships with stakeholder teams and guide appropriate trade-offs, clearly communicate goals, roles, and responsibilities
• Design and deploy agentic AI systems to automate complex workflows, scale pattern detection, and accelerate enforcement decisions across high-volume abuse scenarios

Requirements

• Bachelor’s or postgraduate degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics, or related discipline
• 3+ years of relevant industry experience in risk or fraud investigations, regulatory compliance, e-commerce, analytics, or security
• Proficient with deriving insights from big data using SQL & experience manipulating/processing data with Python
• Proven ability to deliver complex projects across multiple teams

Preferred Qualifications

• Experience working in e-commerce organizations
• Experience working within fraud, compliance, law enforcement, or intelligence organizations
• Experience with AWS services like Redshift, Neptune, or Sagemaker
• Masters degree in or practical experience with data science or machine learning
• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences
• High level of integrity and discretion to handle confidential information
• Exceptional ownership and bias for action: willing to move quickly and decisively
• Proven ability to problem solve in large/complex/technical systems

Pay

The base salary range for this position is $102,000.00 - $178,400.00 USD annually, depending on location (USA, AZ, Tempe or USA, WA, Seattle). Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Benefits

Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.