Mingyuan (Sunny) Zhang
Solutions Architect, SAS Financial Services
Mingyuan Zhang is a solutions architect for SAS Financial Services. Over the last 10 years with SAS Institute, he has successfully developed and implemented many economic forecasting, data mining, and risk management solutions for various industries. Prior to joining SAS, he served as an economic and financial analyst for a leading telecommunications consulting firm. Mr. Zhang earned an MBA from State University of New York at Buffalo and PhD in Economics from Kansas State University, and is a member of the American Statistical Association.
By This Author
Fair Lending Compliance: Intelligence and Implications for Credit Risk Management
Illustrates the importance of the interdependency between HMDA/fair lending compliance and credit risk management. Demonstrates the need for development of proper risk measurement and feedback mechanisms and continuous monitoring to ensure fair lending compliance and accurate credit risk evaluation.
Credit Risk Assessment: The New Lending System for Borrowers, Lenders, and Investors
Provides a framework on how financial institutions can improve their credit assessment system. Authors Clark Abrahams and Mingyuan Zhang present a new credit risk framework for small business and consumer lending and explain how it can be implemented to improve a financial institution's credit assessment system.
Extras and Events
SAS experts Clark Abrahams and Mingyuan Zhang delve into the timely topic of their book Fair Lending Compliance: Intelligence and Implications for Credit Risk Management in a podcast interview with SAS Publishing.
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.