The University of Chicago's Master of Science in Financial Mathematics (MSFM) Program is pleased to invite you to a presentation by Dr. Yuri Balasanov on 'High Frequency Trading of Options'. Refreshments will be served prior to the presentation and the presentation will begin at 12.00.
Register By Email
Please email the following details: name, affiliation and title/position
Yuri Balasanov (Speaker)
Professor Balasanov is a risk manager, trader, researcher and educator. He is Head of Research and Trading at AQ Strategies LLC, President and founder of Research Software International Inc., and Adjunct Professor at The University of Chicago's Program on Financial Mathematics.
Yuri has worked in the financial industry since 1991. He has been teaching Financial Mathematics at The University of Chicago since 1997. Prior to launching Alpha Quant Fund at AQ Strategies LLC, he worked at Lotsoff Capital Management as Chief Investment Officer; at Ritchie Capital Management as Director of Quantitative Research and Quantitative Trader; at Bank of America as leading quantitative researcher; and at Chicago Research and Trading (CRT) as quantitative researcher.
Prior to becoming an industry practitioner Yuri taught at the Moscow State University in Russia where he also received his Master's degree in Applied Mathematics and PhD in Probability and Statistics.
The University of Chicago's MSFM Program
Founded in 1996 by an exceptional team of educators, the University of Chicago's Master of Science in Financial Mathematics (MSFM) program has had the honor of shaping some of the brightest minds in the financial industry today. A pioneer in its field, our program offers one year of accelerated, integrated coursework (on a full-time basis) that explores the deep-rooted relationship that exists between theoretical and applied mathematics and the ever-evolving world of finance. Our mission is to equip our students with a solid foundation in mathematics, and in doing so provide them with practical knowledge that they can successfully apply to complicated financial models.