Wonder if the finance roles of quants and quant devs will spread to other industries. Quant devs are math heavy programmers that might not do original research but still can understand/calibrate/implement the models the pure quants produce. Ie given an abstract paper with a shiny model (or a hacked together spreadsheet...) the qdev might need to analyze what monte Carlo error correction strategies are relevant for the problem or how a certain market's peculiarities might influence calibrations etc.
Also, quant devs are heavily involved in building the calculation engines that invokes the models. These engines handles real-time dataflow and calibrations etc and are often highly non-trivial.
My guess is that that type of role is relevant in a data science context. This is much more than data cleansing and piping data between databases.
Also, quant devs are heavily involved in building the calculation engines that invokes the models. These engines handles real-time dataflow and calibrations etc and are often highly non-trivial.
My guess is that that type of role is relevant in a data science context. This is much more than data cleansing and piping data between databases.