Quantitative Finance Summer Associate applicants have rated the interview process at Morgan Stanley with 3.8 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 25% positive. To compare, the company-average is 62% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Finance Summer Associate roles take an average of 1 day to get hired, when considering 4 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 Finance Summer Associate according to 4 Glassdoor interviews include:
Phone interview: 33%
IQ intelligence test: 17%
Presentation: 17%
Drug test: 17%
One on one interview: 17%
Here are the most commonly searched roles for interview reports -
I applied through college or university. The process took 1 day. I interviewed at Morgan Stanley (New York, NY) in Mar 2010
Interview
Applied this position through my university career web site. Had a phone interview with MS HR staff. The whole interview took place for around 30 mins. First walked through my resume and then asked for some brain teaser questions. Maybe I was not answer these brain teaser questions very well, so got rejected by MS.
Interview questions [4]
Question 1
There are two stocks with the same expected value, with variance 0.3 and 0.2 and correlation 0.5. What proportion of each stock do you invest in to yield a minimum risk portfolio?
For the first round I was given a 60 minute online assessment that had questions on math (there was a lot of probability and calculus), finance, financial math and programming.
I applied online. I interviewed at Morgan Stanley (New York, NY) in Nov 2019
Interview
First round: Online Assessment (Math, Java/C++, Finance and Fin math)
Second round: Phone interview talk about resume and one SQL question
Third round: onsite interview. Three rounds. Topics from CS, math, fin math.
Interview questions [1]
Question 1
How to detect cycle in a linked-list. Prove the algo.
1st round: Phone interview with VP or Director from different teams, 30 minutes for each team. Ask experience on resume and some tech questions about math, programming and statistics.