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Jing A. Wen is an accomplished professional in quantitative analytics and modeling, currently serving as Group Manager at PNC since August 2015. Responsibilities include managing a team of data science experts to develop predictive models for Anti-Money Laundering (AML) analytics using advanced statistical and machine learning techniques. Previous positions at PNC encompass roles as Portfolio Analytics & Strategy Manager and Quantitative Analytics Consultant, where significant work involved building credit loss forecasting models for regulatory processes. Prior to PNC, Jing A. Wen completed a postdoctoral fellowship at Carnegie Mellon University, focusing on quantitative analysis in autism spectrum disorders, and earned a Ph.D. in Neuroscience from Carnegie Mellon University. Educational qualifications also include a Master’s in Information Science and Technology from the University of Pittsburgh and a Master’s in Neuroscience from the National University of Singapore.