Xiaoyan Li is a senior risk and fraud specialist with 13 years of experience applying data science, statistical modeling, and rule-based detection across payments and lending portfolios. Currently at Amazon, she has a track record leading fraud strategy and managing enterprise-scale fraud risk programs at CURO, Discover, and American Express, including oversight of billion-dollar portfolios and AML scanner systems. She blends hands-on analytics (SQL and model development) with vendor and stakeholder management to turn complex risk signals into operational controls. Based in Seattle, Xiaoyan pairs an Industrial Engineering master's from Arizona State with practical production experience, making her adept at both building detection pipelines and embedding them into business processes. An understated strength is her cross-domain fluency—moving from AML to fraud strategy—enabling rapid adaptation to new threat patterns and regulatory expectations.
13 years of coding experience
5 years of employment as a software developer
Master's Degree, Industrial Engineering, Master's Degree, Industrial Engineering at Arizona State University
Contributions:249 commits, 11 PRs, 180 pushes in 4 months
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Xiaoyan Li - Sr. Risk Industry Specialist at Amazon