Goldman Sachs Model Risk Analyst interview questions
based on 7 ratings - Updated 18 Aug 2024
Averageinterview difficulty
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Goldman Sachs interviews FAQs
Model Risk Analyst applicants have rated the interview process at Goldman Sachs with 3 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 63.7% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Goldman Sachs as a Model Risk Analyst according to 1 Glassdoor interviews include:
Other: 33%
Phone interview: 33%
Presentation: 33%
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Went through 3 out of 6 interviews. First one super chill and easy, kind of like a basic intelligence assessment. Second quite behavioural with some technical questions and questions about relevant experience. Last one was very weird- had math problem to solve (undergrad level), it seemed like the interviewer didn’t care about the skills required for the job, just personal satisfaction. During the process I was already convinced that there’s no money that would make me work in that team. Afterwards got ghosted ofc
Interview questions [3]
Question 1
If you roll 2 dice’s what is the possibility the sum of points is bigger than 6?
I applied through a recruiter. The process took 3 weeks. I interviewed at Goldman Sachs (Dallas, TX) in May 2023
Interview
1 technical screen + onsite round (4 rounds within it). I would say the interview consisted of Leetcode easy-medium questions along with med-level probability questions. However, I interview through the college grad program so it maybe different for someone else. Onsite Final round the MD didn't turn up
I applied online. The process took 2 months. I interviewed at Goldman Sachs (Warsaw, Masovia) in May 2023
Interview
BIG LOWBALL! Be Careful, If you are not careful you will interview for a higher position (Associate) and then get moved to Analyst, and get a lowball offer, do not accept.
Series of 6 Interviews with Statistics and Probability questions, as well as programming ones. With topics such as martingales, Bayes, fair games, mathematical expectation etc. Also included topics of spatial and time complexity in algorithms.
Interview questions [1]
Question 1
Define a martingale, and given an example prove it is a martingale.