Xuemei (Michelle) Shan is the Chief of Data Analytics at FINRA, specializing in transforming regulatory oversight through big data. With a Ph. D. from Northwestern University, she has delivered over $1B in business impact by building advanced analytics, AI, and ML functions at firms like Charles Schwab and Discover.
She pioneered using Natural Language Processing (NLP) early in her career to create a new framework for credit decision-making based on customer insights.
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Experience
18 Years
Current Role
Chief, Data Analytics
Location
Greater Chicago Area, United States
Personality Overview
How Xuemei shows up
Logical And Quick
Perfectionist
Observative
They can be nudged to make faster decisions by offering what they value. They care equally about the product and its potential impact. They don’t always try to control the conversation but neither do they like yielding it fully.
Priorities
Topics Xuemei cares about
AI in Regulation
She modernizes compliance monitoring and regulatory oversight with AI and ML, replacing manual processes with automated, risk-based reviews.
Big Data Transformation
At FINRA, she built the analytics function from scratch, replacing legacy sampling with full-scale big data analytics to strengthen oversight and identify misconduct.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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