Descrição
DESCRIPTION:
Key job responsibilities
- Investigate and analyze new and emerging fraud and abuse trends
- 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
- Be able to 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, 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.