John Morgan is a seasoned data scientist with extensive experience in fair lending analytics and quantitative operations. Currently serving as a Senior Data Scientist at Cross River since August 2022, John analyzes and prepares data for fair lending testing using Python. Previously, John worked at Bank of America as an AVP, Quantitative Operations Associate, focusing on volume forecasting for Anti-Money Laundering and Bankruptcy. John also held positions at U.S. Bank as an Officer, Quantitative Model Analyst, and Freddie Mac as a Quantitative Analytics Professional, both roles concentrating on fair lending risk analyses. With a Master’s Degree in Economics from the University of Florida and a Bachelor’s Degree in Economics with a Mathematics minor from North Carolina State University, John has a robust academic background supporting a career marked by a commitment to fair lending practices and data-driven insights.
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