Reddit reviews Quant Job Interview Questions and Answers (Second Edition)
We found 2 Reddit comments about Quant Job Interview Questions and Answers (Second Edition). Here are the top ones, ranked by their Reddit score.
I am a physics PhD student who prepared for a quant transition and got an offer relatively soon after applying.
How much time do you have, where are you going to look, and from which university are your degrees? This book is an easy read, a bit American-centric. There are also books with preparation problems, I liked 1 2 3.
Play on your strengths - if you don't like programming just get a basic idea of how C++ work, and learn a lot of stochastic calculus if that's what you like. Eventually you should identify 1 or 2 areas which you like most and become strong in those. It's better to be so-so in some of the areas of the books above but beyond their level in 1-2 areas than being quite good at all of them but excel in none. Don't completely neglect any topic though - if you have no idea what a call option or a pointer are, you'll be in trouble. Don't neglect brainteasers.
Certain interesting areas are surprisingly ignored by those books, for example econometrics and machine learning. Good luck!
> I'm looking at jobs in quantitative software engineering roles, like Jane Street, DE Shaw and Two Sigma.
Then brush up on your probability and statistics brainteasers. That, and algorithmic brainteasers (like things to do with linkedlists, arrays, etc).
Sample book is Heard on the Street by Crack or Quant Job Interview Questions and Answers by Joshi et al.
You don't need to know finance for Jane Street. They emphasize that...