채용
Benefits & Perks
•401(k) matching
•Professional development budget
•Generous paid time off and holidays
•Flexible work arrangements
•Team events and activities
•Learning
•Flexible Hours
Required Skills
TypeScript
JavaScript
React
Join our Customer Trust team at Amazon Pay to lead end-to-end fraud prevention and risk management initiatives. In this role, you will develop and implement strategies to enhance payment security while maintaining a seamless customer experience. You will collaborate with cross-functional teams to build innovative solutions that protect millions of customers and merchants across global markets.
- Key job responsibilities
- Design and implement comprehensive risk management programs to protect payment transactions across multiple geographic regions
- Partner with product and machine learning teams to develop automated fraud detection and prevention solutions
- Create and standardize investigation protocols to improve accuracy and resolution time for fraud cases
- Lead cross-functional initiatives with Analytics, Product, and Engineering teams to identify and address security vulnerabilities
- Develop measurement frameworks and analytics dashboards to monitor program effectiveness and drive data-driven decisions
- Build and maintain relationships with external partners to strengthen fraud prevention capabilities
- Establish best practices and standardized processes for emerging markets in Latin America, Middle East, and Asia Pacific regions
- Collaborate with marketing teams to develop customer education programs on payment security and fraud prevention
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 product teams on security feature implementations, or present program results 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
- Master's degree
- 4+ years of post Master's, full-time relevant industry (professional or military) experience
- Experience owning and leading significant projects from concept to deployment
- Experience working with cross-functional teams
Preferred Qualifications
- Experience with Lean/Six Sigma
- 3+ years of driving process improvements experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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