Trends in applied mathematics and its adoption in the finance industry, or why you should pass on blockchains and big data
Over the course of the twentieth century, applied mathematics has gradually assimilated and standardized the subjects of probability, statistics, control, and information. While an outside observer of decadal trends in STEM in finance might instead focus on the industry's embrace of computing technology during the Moore's Law era, I claim these quieter developments are ultimately more impactful because they help firms to organize information technology and financial innovation to create lasting value for clients. I will demonstrate this through a survey of the changing role of quants, and make an attempt to describe current opportunities.Bio: John is Vice President, Quantitative Risk Management at the Options Clearing Corporation in Chicago, which is the principal central counterparty for equity derivatives. Previously, John was with the treasury and investment risk management departments of Ameriprise Financial in Minneapolis. Prior to returning to the midwest, John worked for several major international banks in New York, London, and Zurich. He entered the industry out of college with an appointment at the Bank for International Settlements.
John is an Adjunct professor with MCFAMs Master of Financial Mathematics (MFM) program. In addition to his affiliation with MCFAMs MFM program, John has taught about financial derivatives for the Carlson School of Management and for various industry programs.
John has a BS degree in physics and mathematics from Stanford and an MS degree in computational finance from Carnegie Mellon. John's affiliation with the U of M goes back to the 80's. He was an UMTYMP student and also participated in a mentorship program with the head of the physics department during his high school years.