Quantitative Associate applicants have rated the interview process at Wells Fargo with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 80% positive. To compare, the company-average is 65% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Associate roles take an average of 39 days to get hired, when considering 16 user submitted interviews for this role. To compare, the hiring process at Wells Fargo overall takes an average of 22 days.
Common stages of the interview process at Wells Fargo as a Quantitative Associate according to 16 Glassdoor interviews include:
Phone interview: 25%
Group panel interview: 21%
Background check: 14%
Presentation: 14%
One on one interview: 11%
Personality test: 7%
Skills test: 7%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 1 week. I interviewed at Wells Fargo (New York, NY) in Dec 2017
Interview
The interview took place on phone. It lasts for 90 minutes and there are two interviewers. They both asked technical and behavioral questions. It was Credit and Operational Risks track.
Interview questions [3]
Question 1
Tell us about your data transfer, data management and data extraction experience.
First is phone interview in various quant topics (Lin alg, programming, stochastic, probability) and second is case study on some finance topic like option pricing or MC simulation, with presentation.
I applied through an employee referral. I interviewed at Wells Fargo in Feb 2021
Interview
One round of technical phone interview, and then got invited to complete a time-limited case study (derivative pricing exercise). Submitted powerpoint + written report + code (Python/C++/Java), and then presented case study results on "Super Day" technical interview round. Then, end with a round of behavioral interview.
Interview questions [1]
Question 1
How do you speed up the convergence of a Monte Carlo simulation? Do you know anything about C++ templates / Python @classmethod decorator / how to verify the properties of a pseudorandom generator?
Also, specific questions about choices and assumptions made in case study. Presentation lasted 10-12 minutes, but Q&A lasted four times as long.
one round phone interview covering basic ordinary differential equation, probability, statistics, Monte Carlo;
one round on-site interview on basic stochastic calculus (solution to Ornstein-Uhlenbeck, derivation of B-S equation), programming problems in easy level leetcode
Interview questions [1]
Question 1
On programming, there is one problem with the usage of virtual function; there's also a buffon's needle problem