Ke Chao is a Senior Credit Analyst at Affirm, with previous experience as a Quantitative Researcher at Moody's Analytics, where a global methodology utilizing Hierarchical Bayesian methods was developed to enhance corporate default probability estimations. Academic background includes a Doctor of Philosophy in Economics from Washington University in St. Louis, focusing on market dynamics and fiscal implications of monetary policies, alongside roles as a researcher and teaching assistant. As a PhD candidate, research encompassed heterogeneous agent models and financial innovations, complemented by an undergraduate degree in Economics from Wuhan University.
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