Jialing Cai is a Quantitative Model Analyst for CCAR and CECL credit risk model validation at US Bank. Her work involves validating CECL and CCAR credit models for the bank's retail and residential mortgage portfolios . Her analysis focuses on conceptual soundness, performance evaluation and stress testing. Prior to joining US Bank full time, Jialing was a data analyst intern at P2E Technologies in 2019 where she parsed unstructured data in Python from regulatory documents to help in developing a financial regulatory compliance data library. She was also a 2018 summer intern for the CFA Society of Minnesota. She has an undergraduate degree in Economics from Huazhong University of Science and Technology. Jialing has passed the CFA Level II and the FRM Level II Exams.
"MFM courses equipped me with solid technical analysis skills for risk management and a variety of programming languages that I need every day in my current job. The MFM alumni network gave me tremendous support - I had immediate access to many different people who helped me learn how quants operate in industry. The career support and networking skills I got from the program were critical in helping me move outside my comfort zone. MFM instructors are knowledgeable and guided me in going beyond classroom learning by taking on applied research with some of them. As I look at trends in the field, I am seeing that traditional banks like US Bank are incorporating more machine learning into model development; and Python will be the main programming language in the next few years. I was fortunate to be introduced to Python and machine learning during the intensive 10-day MFM Winter Modeling Workshop. My advice to anyone in the program or considering applying to the MFM or FQF: Seize every opportunity and resource in the program - courses, instructors, career and academic advisors, and alumni!"