Our vision is to make Amazon Pay as the most trusted, convenient and rewarding Payment Experience. As Amazon Pay expands and builds new capabilities, building customer trust will be the key to drive customer adoption and enable robust business growth. This role would be a part of the "Customer Trust" team in Amazon Pay. We are responsible for driving fraud and abuse prevention initiatives for Amazon Pay products and use cases.
In this role you will build complex product solutions that leverage machine learning and advanced analytics to solve for payments fraud and abuse. You will be responsible for defining the product features, partnering with engineering to design solutions, creating a phased rollout plan, and working across a broad stakeholder group to deliver results. This role calls for an individual to showcase high judgment and decision making skills to balance customer experience with financial impact. There will be a steep learning curve, adding a fair amount of business skills to the individual. Our ideal candidate has a track record of Product Delivery of complex, multi-faceted products, is driven by data, and has the written and spoken ability to engage with and influence cross-functional stakeholders.
Key job responsibilities In this position you will:
- Build and manage product solutions to protect Amazon Pay from Fraud & Abuse, including socializing the vision and results with Senior Leaders across Amazon
- Work with ML scientists and leverage advanced analytics team to identify Modus Operandi being used by bad actors. Translate the learnings into product roadmap to systematically mitigate payment frauds.
- Work with Payment Instrument and category leaders to assess and mitigate vulnerabilities in planned launches
- Abstract requirements to create platform solutions that can have a multiplier impact across clients of the fraud and abuse platform
- Collaborate with Global Identity and Account Integrity teams to influence and build upstream interventions to detect and prevent fraud and abuse
- Lead automation initiatives to drive efficiency in investigation, fraud resolution and reporting
- Deep dive and analyze key business performance metrics, identify gaps and define measurement frameworks to support actionable insights
A successful candidate will be highly analytical, resourceful and customer-focused. They will have a proven track record in taking end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.
A day in the life You will start your day reviewing key metrics and fraud patterns from different regions. You might meet with machine learning teams to discuss new detection models, collaborate with engineering teams on security feature implementations, or present product roadmaps to senior leadership. You will analyze trends, make strategic decisions about risk thresholds, and work across teams to implement solutions that protect both customers and the business.
About the team The Customer Trust team is central to Amazon Pay's mission of becoming the most trusted payment experience globally. We are a diverse group of problem solvers who combine analytical thinking with customer obsession to build innovative security solutions. Our team works across multiple geographies and collaborates with various Amazon teams to protect millions of transactions daily.
Basic Qualifications
- 3+ years of post Master's, full-time relevant industry (professional or military) experience
- Experience in e-commerce/online companies in fraud/risk control functions
- Demonstrated data-driven decision making and quantitative analysis skills (including deep knowledge of Excel, SQL, or statistics)
Preferred Qualifications
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- 5+ years of developing internet products and technologies experience
- MBA
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