Dingguo Hua is a Lead Data Scientist and PhD holder with a strong background in quantitative finance and risk modeling. They served as a Quantitative Finance Analyst at Bank of America from 2016 to 2018, where they conducted statistical analysis and recommended enhancements for Anti-Money Laundering models. Prior to that, they worked as a Project Assistant at Harbin Institute of Technology in 2011, mentoring students and contributing to research proposals. Currently, Dingguo is employed at Citi as a Lead Data Scientist-Quantitative Risk Modeler, following a role as a Quantitative Audit Manager at Truist from 2019 to 2023. Their academic credentials include a PhD in Industrial and Systems Engineering from Rutgers University and Master's and Bachelor's degrees in Mechatronics and Mechanical Engineering from Harbin Institute of Technology.
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