Jordan Giebas' Abstract
The application of quantitative methods to finance and investment methodology has been split into different domains since its inception. Consider early attempts at applying quantitative techniques to the field of finance, such as Markowitz’ mean-variance framework and Black, Scholes, and Merton’s seminal work on pricing European options. Even in these early days, the methods were largely bifurcated into two categories: statistical and mathematical. There have been efforts to unite the so-called P and Q measures, however technological development has underscored much of the change and become a unifying theme in the industry. My talk seeks to identify structural changes in the financial services industry that have impacted the requisite skills a quant should possess. After tracing this evolution, I will identify current trends and discuss skills that are in demand.