Zupei Luo, PhD
About Zupei Luo, PhD
Zupei Luo, PhD, is the Manager of Quant Modeling at Ally in Apex, North Carolina, with extensive experience in analytics and quantitative insights across various industries.
Current Role at Ally
Zupei Luo, PhD, currently holds the position of Manager - Quant Modeling at Ally. Since 2017, he has been responsible for developing comprehensive auto lease models focused on residual value setting, re-marketing, forecasting, and stress testing. Working out of Apex, North Carolina, he leverages his expertise in analytical model development and risk management.
Professional Experience at QVC
Before joining Ally, Zupei Luo served as Manager - Quantitative Insights at QVC from 2014 to 2017. Based in West Chester, PA, Luo was instrumental in generating actionable insights through quantitative analysis and modeling. His role involved applying his proficiency in combining machine learning algorithms with statistical techniques to improve model predictability and maintain interpretability.
Tenure at State Farm Insurance Cos.
From 2005 to 2014, Zupei Luo worked at State Farm Insurance Cos. as Manager - Analytics. During this nine-year period in the Bloomington/Normal, Illinois area, Luo focused on managing asset and credit risks in consumer lending. He utilized advanced analytics and modeling techniques to drive decision-making processes and improve risk management strategies for the company.
Educational Background
Zupei Luo earned his extensive academic credentials from Loyola University of Chicago and Peking University. He holds a Ph.D. in Developmental Psychology, an M.S. in Mathematics & Statistics, and an M.A. in Developmental Psychology from Loyola University. Additionally, he obtained an M.S. in Developmental Psychology and a B.S. in Psychology from Peking University. His comprehensive educational background underpins his multidisciplinary approach in his professional roles.
Technical Skills and Expertise
Luo possesses advanced programming skills, notably in Python, R, SAS, Mplus, PySpark/PyHive, and H2O. Additionally, he is proficient with various operating systems including Windows, Unix, and MacOS, and has extensive experience with database systems such as Oracle, SQL, HUE, Hive, and Hadoop. His expertise includes the use of credit bureau data from sources like Experian, Equifax, FICO, Dun & Bradstreet, and SBFE for model development, highlighting his versatility and technical depth within the field of quantitative modeling and analytics.