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      Wells Fargo

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      Quantitative Interview

      30 Mar 2018
      Anonymous interview candidate
      Charlotte, NC

      Other Quantitative interview reviews for Wells Fargo

      Quantitative Interview

      13 Dec 2019
      Anonymous employee
      New York, NY
      Accepted offer
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 3 months. I interviewed at Wells Fargo (Charlotte, NC) in Mar 2018

      Interview

      The process is to be conducted via phone. In my case, screening interview was technical one rather than generic one with HR managers. After screening, interview with HR manager is supposed to be proceeded (if I had). Technical interview was 1-hour long and it was done with two employees. They were kind and ready to help.

      Interview questions [3]

      Question 1

      How do you define model? (Mathematical and statistical one)
      Answer question

      Question 2

      How do you use Monte Carlo method to derive density?
      Answer question

      Question 3

      Cholesky factorisation and calculation of matrix product
      Answer question
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 4 weeks. I interviewed at Wells Fargo (New York, NY) in Nov 2019

      Interview

      Got an email from the interviewer 1 month after online application. Held the interview within a week from the email. It was a 60 minute phone interview with a single interviewer. 3 weeks later, unofficial offer by the interviewer, and a week after that, official offer.

      Interview questions [1]

      Question 1

      Very technical. The research experience I wrote on my resume was their core interest, so the interviewer asked all the technical details about my research work. The questions could be answered only if you did the research from a to z. Parameters, the reason for choosing the parameters, training data, assumptions made for the research. Reasons for using the model compared to others, etc. Other than the research experience, the interviewer asked 1. my overall experience of graduate school, 2. the courses I took and what programming experience I have with the courses, 3. Some optimization methods for NNs.
      1 Answer