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Jiazhen Wu has five years of work experience in the data engineering and analytics field. In 2021, they began working as a Data Engineer Associate at HAP Capital. In 2020, they were a Data Engineer at Dealogic. In 2018, they were an Equity Data Analyst Intern at Diamond Equity Research. That same year, they also worked on a Derivative Pricing Project using C++ Modeling at Fordham University. In 2017, they worked on a Credit Risk Management project at Fordham University, where they consolidated over 200K consumer credit data, conducted feature pre-selection, created WOE binning, Information Value and cluster analysis, as well as developed logistic regression models and conducted performance analysis with KS test, Gini test and calculated AUROC curve, obtaining 90.

Jiazhen Wu obtained a Bachelor's degree in Finance from Southwestern University of Finance and Economics between 2012 and 2016. Jiazhen then went on to pursue a Master's degree in Quantitative Finance at Fordham University from 2017 to 2019.