Quantitative Analyst applicants have rated the interview process at Morgan Stanley with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 29% positive. To compare, the company-average is 62% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Analyst roles take an average of 11 days to get hired, when considering 76 user submitted interviews for this role. To compare, the hiring process at Morgan Stanley overall takes an average of 27 days.
Common stages of the interview process at Morgan Stanley as a Quantitative Analyst according to 76 Glassdoor interviews include:
Phone interview: 48%
One on one interview: 15%
Skills test: 11%
Presentation: 9%
IQ intelligence test: 8%
Group panel interview: 4%
Personality test: 3%
Background check: 3%
Here are the most commonly searched roles for interview reports -
Simple hiring process, fill out application form online, invitation to online test (numerical and verbal). Invited to telephone interview. Guess the questions very much depend on the person who is interviewing you. I told my background to the interviewer and he was very kind in approaching me with questions relevant to my education.
Interview questions [1]
Question 1
What is the price of a contract that at time T=2 pays out S_2 / S_1. Interest rate is continuous and equal to r?
First round online hackerrank test and verbal reasoning. The technical one includes math and coding test, medium level difficulty. Math problems involve questions like linear algebra, basic probability and statistics.
Contacted by HR, 4 rounds in total. 1st round was CV and basic statistics/coding in python. 2nd round was related to martingale/stochastics.3rd round was on SQL and puzzle. 4th was fit check with India head.
Interview questions [1]
Question 1
Introduction, questions related to CV and statistics.
It was a two step process. First a phone call with HR and then a Zoom interveiw with the team. Everything was done remotely, and they were responsive and fast.
Interview questions [1]
Question 1
Questions related to coding, finance, math, logic.