Matthew Samelson is a highly experienced data scientist and quantitative analyst with an extensive background in capital markets. He has a strong history of team leadership, problem solving, and a passion for data evangelism. Samelson brings deep domain knowledge in asset management, brokerage, and banking, making him a valuable asset to any project or organization. He holds a bachelor's degree in Economics from Columbia University in the City of New York, an MBA in Finance from The University of Chicago Booth School of Business, and a Data Science Certificate from the NYC Data Science Academy.

His previous work experience includes roles such as Data Scientist / Quantitative Analyst at Triumph Analytics, Data Scientist / Quantitative Analyst / Developer at Outvest Capital, Data Scientist at NYC Data Science Academy, Director of Business Intelligence / Management Consultant at Woodbine Associates, Senior Analyst at Aite Group, Director - Product Management / Portfolio Trading at Liquidnet, Vice President - Global Portfolio Sales and Trading at ITG, Vice President - Program Trading at Lehman Brothers, and Lieutenant at US Navy Reserve.

Samelson's skillset and experience make him a valuable asset to businesses across many industries, and his passion for data and problem-solving allow him to bring an innovative approach to all projects he works on.