Colin Zimmerman is a Lead Data Scientist at Franklin Templeton, where he specializes in applying artificial intelligence and machine learning techniques to extract actionable insights from financial datasets. Mr. Zimmerman’s work focuses on developing predictive models, quantitative tools, and AI-powered applications that enhance investment decision-making processes across the organization. With over 6 years of experience in quantitative finance and data science, Mr. Zimmerman leads initiatives that bridge traditional asset management with advanced data science techniques.

Prior to joining Franklin Templeton, Mr. Zimmerman served as a Quantitative Research Analyst for an independent equity research firm where he focused on developing quantitative stock selection models.

Mr. Zimmerman is a CFA Charterholder and holds a B.S. in Applied Mathematics and Economics from Towson University.