Wei C.
About Wei C.
Wei C. is a Data Scientist specializing in Decision Science with expertise in credit risk rating models, particularly in auto finance and credit retail products. Currently employed at Exeter Finance since 2020, Wei has a strong understanding of regulatory guidance and has previously worked as a Credit Risk Analyst at Bluestem Brands, Inc.
Work at Exeter Finance
Wei C. has been employed at Exeter Finance since 2020, serving as a Data Scientist in the Decision Science department. In this role, Wei focuses on developing and implementing credit risk rating models, particularly within the auto finance and credit retail sectors. Wei's expertise contributes to the company's efforts in enhancing decision-making processes and risk assessment methodologies.
Previous Experience at Bluestem Brands, Inc.
Prior to joining Exeter Finance, Wei C. worked at Bluestem Brands, Inc. as a Credit Risk Analyst in the Credit Decision Science team. This position lasted for six months in 2019, where Wei was involved in analyzing credit risk and supporting decision-making processes related to credit products.
Education and Expertise
Wei C. earned a Master's degree in Industrial and Systems Engineering from the University of Michigan, studying from 2016 to 2018. This educational background provides a strong foundation in data analysis and systems optimization, which supports Wei's current role in decision science and credit risk modeling.
Regulatory Knowledge and Guidance
Wei C. possesses a deep understanding of regulatory guidance, including SR 11-7/OCC 2011-12, SR 15-18, and SR 15-19. This knowledge is essential for ensuring compliance and aligning credit risk models with industry standards and regulatory requirements.
Modeling and Risk Management Expertise
In the capacity of a Data Scientist, Wei C. engages in modeling across all three lines of defense: development, implementation, validation, and internal audit. This comprehensive approach to modeling enhances the effectiveness of credit risk management strategies within the organization.