As a member of the Machine Learning Strategy and Risk Platform team, Katie researches and develops new systematic trading models and maintains Welton’s in-house risk platform. She’s the architect of the team’s machine learning computing infrastructure and bespoke computer cluster.
Before joining Welton in 2018, Katie was a Teaching Assistant for undergraduate macroeconomics while earning an MS (Applied Economics and Finance) at the University of California, Santa Cruz. She graduated Magna Cum Laude from UCSC with a BA in Economics/Mathematics.
“Nature and music are my passion. Exploring different disciplines of math and science, my inspiration.”