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Jasmine Jiang

Analytics/ Risk Management Professional, Risk Manager, Modeler - SAS SQL, LION
Portland, Oregon
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This public profile is provided courtesy of Clay. All information found here is in the public domain.
What are some of Jasmine Jiang’s interests or hobbies?
Profile Image for Jasmine Jiang

Jasmine Jiang

Analytics/ Risk Management Professional, Risk Manager, Modeler - SAS SQL, LION
Portland, Oregon
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Jasmine Jiang is a seasoned analytics consultant and risk management expert with a wealth of experience in the finance industry. She has a background in economics and holds an MBA in Services Marketing from the W. P. Carey School of Business at Arizona State University.

Jasmine's career spans various roles at Bank of America, where she served as Vice President, Consumer Risk Manager, and First-Party Fraud Strategy Manager. She was responsible for managing the bank's first-party fraud detection and portfolio management functions, where she architected and built Bank of America Card Services' complete First-Party Fraud Targeting Scheme from the ground up.

During her tenure at BofA, Jasmine developed three transaction-level scoring models and rolled them out to 32 million accounts each, enhancing the bank's revenue by $600,000 through a low line segment's CLI process reengineering. She also managed the installation of Early Warnings tools, which turned a $1.2 million cost into $7.2 million program return for the bank.

Jasmine is skilled in quantitative analysis, scorecard development, segmentation, consumer credit risk modeling, risk management, portfolio management, and logistic regression. She is also adept at using SAS, SQL, CHAID, and macros for large data manipulation and internet marketing.

In her current role as an Analytics Consultant for Virtual Channels at Wells Fargo, Jasmine offers her expertise in data analytics, modeling, and process improvement to identify opportunities to optimize customer experiences across digital channels.

This public profile is provided courtesy of Clay. All information found here is in the public domain.