An explosion of interest in automated, algorithmic investment approaches has shined a spotlight on the finance industry. Many traditional firms now employ high-octane strategies powered by quantitative techniques to enhance profits and manage risk. It’s a rapidly growing area of finance that hires tenured investing professionals as well as PhDs in mathematics and physics.
One sign of the changing times is the hoard of academics and industry leaders in attendance each month for the Bloomberg Quant Seminar. Many of them share a common interest in using quantitative methods that leverage data and algorithms to make better investment decisions. It’s the single largest forum for the quant community to share research according to Bruno Dupire, Head of Quantitative Research at Bloomberg and host of the event.