Summary
Yang Xing is a Senior Fraud and Risk Analyst with 11 years of experience applying statistical modeling, SQL/R engineering, and model validation across fintech and banking environments. Currently at Intuit after leading fraud analytics at Zoom, he blends hands-on data engineering with governance-focused model risk practices to detect and remediate transactional and AML risks. His background includes validating alert generation, tuning transaction monitoring with clustering techniques, and producing MIS and impact-analysis reports that drive stakeholder decisions. Trained with an MA in Statistics from Columbia and a BS in Applied Mathematics, he moves comfortably between rigorous model validation and pragmatic production solutions. Notably, he has experience adapting statistical methods into stored procedures and operational pipelines—bridging analytics research and repeatable, auditable implementations. Based in New York, he focuses on building defensible, data-driven fraud controls that scale in fast-moving product environments.
11 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Applied Mathematics, Bachelor’s Degree Applied Mathematics at The City College of New York
Associate’s Degree Electrical and Electronics Engineering, Associate’s Degree Electrical and Electronics Engineering at LaGuardia Community College
Master of Arts - MA Statistics, Master of Arts - MA Statistics at Columbia University