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KPMG interviews FAQs
Deal advisory intern applicants have rated the interview process at KPMG with 2.8 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 72.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Deal advisory intern roles take an average of 24 days to get hired, when considering 5 user submitted interviews for this role. To compare, the hiring process at KPMG overall takes an average of 28 days.
Common stages of the interview process at KPMG as a Deal advisory intern according to 5 Glassdoor interviews include:
One on one interview: 57%
Personality test: 14%
Background check: 14%
Skills test: 14%
Here are the most commonly searched roles for interview reports -
primo) Inizialmente è stato fissato un colloquio con due membri dell' HR;
secondo) Successivamente un colloquio con due manager;
terzo) L'iter di selezione si è concluso con un colloquio con due partner .
Interview questions [1]
Question 1
Partita doppia, DSCR, Codice della crisi di impresa
I applied online. I interviewed at KPMG (Toronto, ON)
Interview
Two rounds, one screening, one final round. First round was behavioural, second round was behavioural and technical. Had brain teasers at the end. A lot of questions about derivatives and fixed income, like Black Scholes
Interview questions [1]
Question 1
What is one thing not on your resume that you are proud of?
Online tests followed by 1 virtual interview with a team member. I assumed there would be 2 interviews back to back but I guess not. Mostly behavioural questions - overall positive experience
Interview questions [1]
Question 1
What is your biggest weakness?
Describe a time you worked with a difficult team member
I applied online. I interviewed at KPMG in Jun 2026
Interview
Straight forward Interview. No curveball questions. Got asked why KPMG and why Deals Advisory. Then three or four “tell me a time when” questions. One question was about AI usage.
Interview questions [1]
Question 1
Tell me a time when AI gave you an incorrect result, how did you realise and what did you do?