Research is increasingly indebted to statistics and complex modelling. Many cost-effectiveness analyses rely heavily on Monte-Carlo simulations and almost all current research is preformed using statistical software packages like SPSS and Stata. Quants can contribute in this process by providing intrinsic knowledge of statistics and modelling and can do this in almost any research field. Quants are necessary to perform the modelling of findings that researchers around the world gather.

As a research-oriented quant you might work in a niche field of your own expertise, but more often than not you will be the quantitative mind of extremely wide-ranging projects. This can go from health research in development countries to micro-biological research in laboratories. All require an expert knowledge of statistics and modelling and quants will soon notice their importance in all these sectors, where a quantitative mindset is not always found.