Yang Wang
Senior Management Consultant, Quantitative Credit Risk Advisor @SAS
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WORK HISTORY
Senior Management Consultant, Quantitative Credit Risk Advisor @SAS
NC, US
Led team of consultants to develop and implement loss forecasting models (CECL, CCAR) for the banks’ retail portfolio, such as Heloan, Heloc, auto, credit card, Mortgage, secured loans, unsecured loans, etc. The model methodology are loan-level Monte Carlo transition matrix models, the Survival approach (Cox proportional hazard model, discrete-time survival model), PD/LGD/EAD approach. Very experienced in building and maintaining risk models’ lifecycle, i.e data processing (imbalance data, data cleaning, data exploration, data engineering) feature selection (Variance, Chi-Square, Correlation coefficient, L1, L2 regulations, WoE) model selection model monitoring model implementation/production. Extensive hands-on experience in various data engineer techniques (woe, spline, etc.), model selection criteria (Cross Validation, AUC, SMAPE, etc.), machine learning methods (Logistic Regression, Linear Regression, Naive Bayes, Decision Trees, Random Forest, XGBoost). Collaboration with internal pre-sale teams to identify the pain point from the clients and POC support. Help with set up a plan to optimize and repurpose the SAS ECL Solution for different target clients. Engaged with external partners to identify the shortness of SAS ECL solution and provided feedback to product team. Refined product roadmaps by analyzing customer use cases and delivering insights to R&D. Improved overall division performance by creating standardized enablement documentation adopted in other risk projects across all divisions. Leading the delivery support effort, such as writing statements of work, setting up project plans, providing end-user enablement, post-go-live support, and handling customer escalations properly. Conducted stress test, scenario analysis, and CCAR production in response to Covid-19-related stressed macroeconomic environment. Developed attribution analysis models and reports for banks.
EDUCATION
North Carolina State University
Doctor of Philosophy (PhD), Economics
Mississippi State University
Master of Science (MS), Agricultural Economics
Jilin University of Finance and Economics
Bachelor's degree, Accounting
ABOUT YANG WANG
A top-performing Senior Management Consultant and Technical Quantitative Risk Advisor with a coding background and a proven eight-year track record in building and implementing credit risk models. I develop and implement advanced credit risk loss forecasting models for CECL and CCAR submissions using the advanced econometric method and data analysis tools for bank\'s retail portfolios. My responsibility is to lead teams of financial experts and partners in the entire project lifecycle implementation of credit risk models to help clients respond to accounting regulations, changing portfolios, economic conditions, and emerging risks. Among many signature accomplishments at SAS Institute, I serve as a project lead for multimillion-dollar projects to build and implement the bank\'s CECL and CCAR loss forecasting models and receive exceptional customer satisfaction feedback from USAA, Navy Federal Credit Union, and Bunge Limited. At 5/3 Bank, I built scorecard models for Mortgage and Home Equity which were used in production. I’m heavily invested in professional development with a Ph. D in Economics.CERTIFICATIONS: Tableau Desktop Specialist, 2022 SAS Certified Base Programmer for SAS 9, 2015 PUBLICATIONS:Yang Wang, and Francis Annan, “On the Demand for Federal Crop Insurance and Subsidy Reforms,” Agricultural and Applied Economics Association, Boston, MA, July 31-August 2, 2016. Yang Wang, and Francis Annan, “Estimation of Yield Densities: A Bayesian Nonparametric Perspective,” Agricultural and Applied Economics Association, San Francisco, CA, July 26-28, 2015. Yang Wang, Barry J.Barnett, Keith H.Coble, and Ardian Harri, “Yield Aggregation Impacts on a Deep Loss Systemic Risk Protection Program,” Agricultural and Applied Economics Association, Washington DC, August 4-6, 2013.
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