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.
Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas and help in keeping fraud and abuse in check. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon’s strategic needs.
Key job responsibilities
Key Responsibilities :
A day in the life
We at Customer Trust, Amazon Pay are responsible for mitigating Fraud and reducing Abuse for Amazon Pay. In the this highly dynamic environment, the Fraud and Abuse MOs keeps changing and bring new challenges to our day-today work. The candidate will get to work on different problem statements and surface insights to prevent fraud and abuse.
So, each day brings new problem statement which will require deep diving through data analysis, surfacing these insights to Product and ML teams and build scalable solutions.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
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Analyst • bangalore, India