Jing Liu is currently the Director of Machine Learning Engineering at Flex, where they lead initiatives in credit risk, fraud risk, and customer protection through scalable machine learning solutions. Previously, Jing served as a Senior Manager at American Express in Credit Risk Management, where they developed and evaluated credit risk models for commercial B2B lending. Jing holds a Master of Science in Applied Mathematics and Statistics with a focus on Quantitative Finance from Stony Brook University. With over 10 years of experience, they have expertise in statistical modeling, machine learning, and data analytics across multiple industries.
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