Quantitative Analyst applicants have rated the interview process at Barclays with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 62% 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 38 days to get hired, when considering 30 user submitted interviews for this role. To compare, the hiring process at Barclays overall takes an average of 28 days.
Common stages of the interview process at Barclays as a Quantitative Analyst according to 30 Glassdoor interviews include:
Phone interview: 24%
Skills test: 20%
One on one interview: 18%
Personality test: 9%
Group panel interview: 9%
Presentation: 7%
Background check: 4%
IQ intelligence test: 4%
Drug test: 2%
Other: 2%
Here are the most commonly searched roles for interview reports -
there are 4 interviews in total, 2 maths and 2 coding interviews. The mathematics interview cover some basic concepts of statistics and some sequence related maths questions. For coding round, you have to explain your thinking process very in detail.
Interview questions [1]
Question 1
The interview questions are 4 paper based questions and you have to solve them one by one.
I applied through a recruiter. I interviewed at Barclays (New York, NY)
Interview
I interviewed with global head of rates strat. The interview went on-site.
The hiring manager was nice but apparently he did not have a clear idea on what candidate/profiles he was after.
The interview contained multiple questions about my resume but nothing in depth
Interview questions [1]
Question 1
Tell me about one of the recent projects you worked on
I applied online. I interviewed at Barclays (London, England)
Interview
Hard, they grill you. They ask random 3 digit multiplication in the middle of you talking. Asked stuff i learnt in calc 1 and 2. But i managed to ace everything. Got the offer but rejected rthem
4 interviews, 1 coding, 2 maths, 1 general. Maths included typical quant stuff, calculus, linear algebra, stats, probability, then some financial maths concepts I hadn't covered before, like derivations etc.