Reddit reviews Heard on the Street: Quantitative Questions from Wall Street Job Interviews
We found 8 Reddit comments about Heard on the Street: Quantitative Questions from Wall Street Job Interviews. Here are the top ones, ranked by their Reddit score.
>I teach myself about 30 minutes to 1 hour of coding per day
you need to spend way more time than this. you're done with your dissertation - you should be spending like 8 hours a day on it.
1 year of full-time study is absolutely plenty of time to be proficient enough to land a job as a quant at a hedgefund.
i never went out for those jobs but the easiest way to figure out what you need to know in order to land a job is to reach out to someone that works at a hedgefund and just ask them. here's a list of the top quantitative hedge funds:
http://www.streetofwalls.com/finance-training-courses/quantitative-hedge-fund-training/quant-firms/
look up people that work there (or have worked there) on linkedin and message them. be polite and brief and succinct. eventually someone will talk to you and give you a good idea of what you need to know.
if you want to build models, off of the top of my head (from what i remember) you'll need to know a lot of undergrad data structure stuff (basically all of CLRS), SDEs (oksendal), optimization (boyd, bertsekas), basic stats (casella). all of this is pretty straightforward - read the books and the do the problems. the harder part is convincing someone you can come up with a strategy that's novel.
if you want to implement models, you need the data structures and optimization but you also need to pretty god damn good at very tight C++ (maybe ocaml if you go to jane street).
in general wilmott is a better place to ask https://forum.wilmott.com/
also wouldn't hurt to read this https://www.amazon.com/Heard-Street-Quantitative-Questions-Interviews/dp/0994103867
though it's mostly for analysts.
This, and similar questions get asked a lot, so I've started a list of resources. I'd appreciate if people can link me other good stuff so I can add to it.
Note that quantitative finance is a broad term, so different people will be doing very different things, and have different opinions about them.
Quantitative Trading Summaries:
A summary of quantative trading
Max Dama - On Automated Trading
Cliff Asness - A Brief and Biased Survey of Quantitative Investing
Mark Joshi - On Becoming a quant
Becoming a quant for a programmer
Interview Prep:
Brainteaser section of On Automated Trading
Heard On The Street
Jane Street - Probability and Markets
Sites:
Wilmott
Nuclear Phynance
Blogs:
Math Investor
Investment Idiocy - Systematic Trading
Meanderful - HFT stuff
Jane Street Blog
Jane Street Youtube
Papers From funds:
AQR
I'm also thinking about a "books your interviewer has probably read" section.
A lot of people are passionate and defensive about this stuff. So someone, somewhere, will have bad things to say about each of these. But overall I believe there is a lot of insight to be gained from reading through most of it.
Heard on the Street. The classic.
https://www.amazon.co.uk/Heard-Street-Quantitative-Questions-Interviews/dp/0994103867
Very good luck.
Heard on The Street is a great book to prepare for interviews. ^^Psst, ^^up ^^here, ^^there's ^^a ^^free ^^pdf ^^if ^^you ^^search ^^on ^^google.
Hey man, I interviewed a couple of months ago at a trading firm in Chicago for an Analyst/Quant role. Aside from the one the other user mentioned, this one was super helpful for me too!
Heard on the Street
> 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...
Buy this or find one at a library: https://www.amazon.com/Heard-Street-Quantitative-Questions-Interviews/dp/0994103867. If you can do a lot of the problems in there you're probably set. Some firms ask about derivatives pricing or programming depending on the position. It's also a good idea to have some idea of current financial news, read Barron's, the Economist, WSJ, etc.