Over the last 25 years, increased competition, advances in technology and the globalization of markets have dramatically lowered the cost and increased the speed and volume of data available for decision-making. Extensive regulation, implemented after the 2008 financial crisis, requires financial firms to better measure and control risk in their portfolios.
To succeed, bankers, traders and money managers must understand the proper use and limitations of the mathematical models on which their decision-making is based, the statistical analysis and probabilistic distributions driving economic forecasts and the management of software development necessary to implement these tools. Our students are trained to meet these industry needs.
While our graduates take varied positions in quantitative finance, the five careers paths most frequently pursued are: Quant Research, Sales & Trading, Data Science, Portfolio Management, Risk Management and Strats and Modeling.