Jason Young

Jason Young is an experienced professional in risk analysis and data science, currently serving as the Lead Risk Analyst for Fraud Prevention at Happy Money. Prior to this role, Jason worked at the Federal Reserve Bank of San Francisco, where titles included Sr. Regulatory Analytics Specialist and Data Analytics Specialist, focusing on data insights and analytics. A brief internship with Nova Credit involved developing a Python module for machine learning algorithms that accurately detected missed payments. Jason also has a substantial background in investment accounting and credit risk analysis from First Northern Bank, where key contributions included building a database application to automate investment accounting and performing credit risk analytics on a large loan portfolio. Additional experience includes roles in tax accounting and economic research, complemented by an educational foundation in Computational Analytics from Georgia Institute of Technology and a degree in Managerial Economics from the University of California, Davis.