Data Scientist

Jake Sehnert is an applied data scientist working on a quantitative finance R&D team for FLX. He currently applies machine learning to enhance trading strategies and identify actionable patterns in the market. Prior to this role, Jake assisted on projects leveraging computer vision for object tracking and classification working as a Data Analyst for the Rochester Data Science Consortium. Jake, a Rochester native, attended the University of Rochester where he graduated with a Master of Science Degree in Data Science following his Bachelor of Arts in Economics with minors in Political Science and Statistics.