Yuri Balasanov, PhD

Dr. Balasanov is Chief Data Officer at Quiet Light Securities L.L.C. He has been a financial industry practitioner for more than 20 years, working at leading financial institutions, like Bank of America, Chicago Research and Trading, Ritchie Capital and other trading and asset management companies. His roles include leading data-driven quantitative research divisions, trading, and risk management. Dr. Balasanov is an Academic Advisor at FTI Consulting, and a member of Advisory Committee for project “Developing a Deep Learning-Computer Vision Framework to Monitor Avian Interactions with Solar Energy Facility Infrastructure,” for the U.S. Department of Energy.

Dr. Balasanov earned his Master of Science degree in Applied Mathematics and Ph.D. in Probability Theory and Mathematical Statistics from the Lomonosov Moscow State University, Russia, where he studied under Andrey Kolmogorov and leading members of his school. His primary expertise and research interests are in the areas of stochastic modeling, advanced data analysis and AI, digital transformation, risk evaluation and decision making.

Yuri Balasanov has taught at Graduate Program on Financial Mathematics (MSFM) and Graduate Program on Analytics (MScA) at the University of Chicago since 1997. The list of courses on his curriculum includes Fixed Income Derivatives, Mathematical Market Microstructure, Linear and Nonlinear Statistical Analysis, Machine Learning, Bayesian Methods, Advanced Machine Learning and AI, Real Time Analysis, Robotics, Financial Analytics. Dr. Balasanov has provided training for the industry, including FRB Chicago, FRB Philadelphia, PwC, Chicago Trading Company, and other organizations.