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Goldman Sachs Interview
Questions & Process

What 5,000 candidates said about the rounds, the
questions and how long the wait really is.

From 5,000 candidate reports · FREE TO READ

2.8Rounds average
30.1Day average
AverageTypical difficulty
61.2%Positive experience

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30 roles · 5,000 reports

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Questions candidates reported

Quoted word for word from Goldman Sachs interview reports.

Finance accounts for 1,619 of 5,000 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

What is the time complexity of the solution to find the first non-repeating character in a string?

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If two assets were initially positively correlated and each had a 50 percent weight, and then they became negatively correlated (like S&P and Bonds), how would you adjust the weights?

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Formats, difficulty and experience

Across all 5,000 Goldman Sachs interview reports.

Question formats

Behavioral37.7%
Technical36%
Coding16.6%
Presentation2.7%
Other2.3%

Interview difficulty

Easy11.3%
Average61.1%
Difficult27.7%

Candidate experience

Neutral29.3%
Positive61.2%
Negative9.5%

Reports by job function

Finance1,619
Engineering1,296
Analytics1,014
Operations357
Other339
Sales111

The interview process

Described in candidates’ own words.

HR screening call, then a HackerRank assessment with one hard and one easy question. This was followed by a Superday which included another HackerRank assessment (two medium questions), a discussion on SDLC, and questions about experience and low-level system design. The final round was a chat with the hiring manager.Candidate-reported process
Recruiter messaged me on LinkedIn after I applied there to get some details. The process included an OA assessment and then a Coderpad round where I was asked a hard tree question, but I couldn't finish it in time.Candidate-reported process
So first there was one online assessment which was a hackerrank coding assessment, and then there were four technical rounds. The questions were mostly about my resume, and probability and math topics. You should expect questions about Markov chains, regression, linear algebra and machine learning.Candidate-reported process
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