• C++ Programming for Financial Engineering
    Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering.
    Python for Finance with Intro to Data Science
    Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job.
    An Intuition-Based Options Primer for FE
    Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models.

Failure stats for buy-side firms?


Well-Known Member
Does anyone have the stats on what percentage of quant shops fail within:
1) 1 year?
2) 2 years?
3) 3 years?
4) 4 years?
5) 5 years?

want to know so that I can ask shops how many years they've been in business during the interview to make sure I'm most likely picking a rising tide, as years in business is probably lindy.
Last edited:


Well-Known Member
You can probably get that info directly from the adv. also, depends on what you are trying to maximize. The longer a shop has been around, the more likely your income will be bond like. New shops, while risky, have more potential upside. Lottery ticket maybe?