Having hired a lot of quants and programmers in finance I can probably give a bit of background on what to expect: Get this book, read it and understand it. http://www.amazon.com/Heard-Street-Quantitative-Questions-In... Quants tend to be in 1 of 3 categories: 1) pricing quants, you work for a bank or investment house like Goldamn. You know stochastic calculus very well, you know finite differencing like the back of…
1) High guaranteed, little upside 2) Low guaranteed, high upside 3) Moderate guaranteed, little upside, better QoL? 4) Low, none..., excellent QoL
I'm not sure how I'd feel discussing kernels of an SVM with someone -- to me, that feels pedantic. I generally feel that the fundamental driver to 'models no longer working' is evolving covariance dynamics (changing linkages) -- this has very little to the mechanisms of most ML tools.
Perhaps the metaphor I'm looking for is that I wouldn't expect a carpenter to be able to build and explain the components of a power drill to use it to help my house.
QuantFi is a huge discipline -- you build teams with hopefully a mixed bag of skills. On the trading side, I'd rather have someone with experience w.r.t to the market + products than math-jutsu any day.