Risk Manager, Special Projects and Investigations

About Selling Partner Trust and Store Integrity (TSI)

Selling Partner Trust and Store Integrity (TSI) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors and Amazon from fraud, counterfeit, and abuse. We also provide world-class support and build loyalty with Amazon’s millions of selling partners.

The Special Projects & Investigations (SPI) team protects Amazon’s WW stores by creating projects and programs focused on the detection of abuse at its earliest point. We identify root causes, vulnerabilities, or exploits to systematically address and prevent future abuse. Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, thrive in an environment of ambiguity and change, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. The combination of our unique backgrounds and perspectives strengthens our ability to achieve Amazon's mission of being Earth's most customer-centric company.

We catch bad actors and stop online fraud; It’s fun! It’s hard! It matters! We are passionate about protecting our selling partners and customers from bad actors and want a candidate that shares that passion.

About the Role

We are looking for an experienced Risk Manager, Special Projects and Investigations with a background in risk or fraud investigations, regulatory compliance, intelligence, or a related field to join our Risk Mining team. On the Risk Mining team, you serve as the centralized intake for complex investigations and escalations. You will conduct deep dive analyses using internal data systems and open source intelligence tools to uncover hidden patterns of fraud and abuse. You will collaborate with cross-functional partner teams, translating technical findings into clear business impacts and developing coordinated response plans. You will document methodologies and work with partners to scale detection capabilities. Your investigations directly protect Amazon’s customers and the integrity of Amazon’s WW stores.

Key Job Responsibilities

• Investigate and analyze new and emerging fraud and abuse trends.
• Apply critical thinking and judgment to inform complex enforcement decisions.
• Identify gaps in risk controls and recommend policy improvements to product owners.
• Leverage data analysis and investigative techniques to scale bad actor detection capabilities.
• Partner with cross-functional teams to implement risk mitigation strategies.
• Create and maintain documentation of investigation processes and findings.
• Monitor key risk indicators and prepare regular reports for leadership.
• Stay current on industry fraud trends and incorporate learnings into detection methods.
• Clearly articulate in detail, verbally and in writing, the sequence of events, patterns, and risk signals leading to abuse/fraud.

A Day in the Life

As a Risk Manager, Special Projects and Investigations, you will protect Amazon customers by identifying and stopping abuse in our stores. Your daily responsibilities include deep diving new investigations, escalations, and datasets to uncover emerging fraud patterns, developing new detection methods, and improving investigation processes. You will collaborate with partner teams across Amazon to understand their priorities and workflows. Working both independently and as part of a team, you will share insights that drive strategic decisions aligned with broader organizational objectives. Your work directly impacts Amazon's ability to maintain customer trust and prevent fraud across our marketplace.

About The Team

Our team brings together experts across multiple risk domains including fraud, cybersecurity, data security, internal risk, threat intelligence, regulatory compliance, and vendor risk. We combine specialized technical skills with broad risk management experience to tackle complex challenges. We're a diverse team that speaks 12 languages and codes in 4. We value experimentation, continuous learning, and supporting each other's growth. We celebrate taking calculated risks and finding innovative solutions to emerging threats. If you enjoy solving complex problems, uncovering hidden patterns in data, and working in a collaborative environment that encourages both technical excellence and creative thinking, come join us!

Basic Qualifications

• 3+ years of operations, risk, fraud investigations industry experience.
• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
• Experience delivering cross functional projects.
• Bachelor’s or postgraduate degree in Information Security, Computer Science, Data Science/Analytics, Intelligence Studies, Criminal Justice, International Studies or related discipline.
• Experience creating concise written reports that translate complex technical issues into actionable insights for diverse audiences, including technical teams, business stakeholders, and executive leadership.

Preferred Qualifications

• Experience in e-commerce/online companies in fraud/risk control functions.
• Experience handling confidential information and maintaining professionalism in dealing with senior executives.
• Experience managing complex and fast-moving issues.
• Background in risk or fraud investigation, compliance, law enforcement, or intelligence operations.
• Proficiency in foreign languages, particularly Mandarin, Russian, or Turkish.
• Technical experience with AWS services including Redshift, Neptune, or SageMaker.
• Strong communication skills for explaining complex risk concepts to both technical and business audiences.
• Ability to solve complex problems in large technical systems.
• Data analysis skills with experience using SQL, Python, or R.
• Experience building detection models or conducting pattern analysis.

Key skills/competency

• Fraud Investigations
• Risk Management
• Data Analysis
• SQL
• Cross-functional Collaboration
• Abuse Detection
• Policy Improvement
• Open Source Intelligence
• Reporting
• Regulatory Compliance