Quantitative Developer applicants have rated the interview process at Goldman Sachs with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 60.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Developer roles take an average of 8 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at Goldman Sachs overall takes an average of 33 days.
Common stages of the interview process at Goldman Sachs as a Quantitative Developer according to 6 Glassdoor interviews include:
Phone interview: 38%
One on one interview: 25%
Skills test: 25%
Personality test: 13%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Goldman Sachs (New York, NY) in Mar 2015
Interview
45 min phone interview with 15-20 min questions. From mathematical proof to basic computer science terminology explanation and pseudo - coding. The guy on the phone just kept asking questions It more looked like testing your reaction under pressure.
Interview questions [1]
Question 1
Prove there are infinitely many prime numbers; check if two linked list is a cycle; two sum;
Super day composed of 2 45 minute interviews. Expect a mix of math and probability with algorithm question. Communication is very important as well. Overall pretty straightforward. Practice CS algos and probability brain teasers
vc interview x 2
for strat role, the team seemed very talented and professional but the role wasn't a good fit
it also seems like they have lots of teams doing similar roles
Interview questions [1]
Question 1
question my motivation and experience
knowledge of pricing models and greeks
1. two leetcode like questions(one is dynamic programming, one is tree-related)
2. two simple behavioral questions(what will you do if you have conflicts with others?)
3. job explanation
4. self introduction
5. Any other question