Quantitative Finance Associate applicants have rated the interview process at Morgan Stanley with 4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 62% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Finance Associate roles take an average of 1 day to get hired, when considering 2 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 Associate according to 2 Glassdoor interviews include:
Group panel interview: 17%
Phone interview: 17%
Other: 17%
Personality test: 17%
One on one interview: 17%
Presentation: 17%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Morgan Stanley (London, England)
Interview
I applied for the Quantitative Finance Full Time Associate Programme (London). I had a telephone interview asking experience and details in your CV. Before the interview the company provided some preparation tips which are very helpful.
I applied online. The process took 1 day. I interviewed at Morgan Stanley (New York, NY) in Nov 2017
Interview
Summer intern. First round phone interview 5 teams contacted me. Questions are standard. Then a week later, I got the opportunity for the superday, where there were 6 teams totally 12 people meeting with me. The process is smoothy. People are pretty nice there.
Interview questions [2]
Question 1
How many real solutions are there for (1/16)^x=log_{1/16}x
I applied through college or university. The process took 1 day. I interviewed at Morgan Stanley (New York, NY) in Aug 2016
Interview
I applied through campus recruiting by joining social networking events. After one month later, I was asked to take the Quantitative Finance Exam. The exam is 60 minutes in length. Questions span across 4 main topic areas: math, financial math, programming, and finance.
I can almost finish financial math, programming, and finance parts. However, math part is very difficult for me.