Technical questions. The interview is quite challenging, yet not impossible to get trough.
It starts from the telephone interview and proceeds with a few technical interviews. A strong mathematical background is required.
Interview questions [1]
Question 1
Python coding. BS pricing, brain teasers. A candidate should be able to express his thoughts in a simple language avoiding sophisticated language.
Take home exam on data analysis and statistical inference, and then two rounds technical interviews, mostly probability and classical statistics and machine learning. Some simple algorithm questions done verbally too.
First round was panel Interview with 2 people, Ask questions on Statistics and resume. One was the VP of the team and other was regional manager. The Interview was not that difficult. But then I was ghosted. There was no reply from either HR or anyone else, I tried contacting them several times
Quantitative Analyst applicants have rated the interview process at UBS with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 68% positive. To compare, the company-average is 62.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Analyst roles take an average of 23 days to get hired, when considering 23 user submitted interviews for this role. To compare, the hiring process at UBS overall takes an average of 26 days.
Common stages of the interview process at UBS as a Quantitative Analyst according to 23 Glassdoor interviews include:
Phone interview: 20%
Skills test: 16%
Personality test: 12%
One on one interview: 12%
Background check: 12%
Group panel interview: 10%
Drug test: 6%
Presentation: 6%
IQ intelligence test: 6%
Here are the most commonly searched roles for interview reports -