How many interview rounds does Goldman Sachs have for Quantitative Analyst, and what is the loop like?

Goldman Sachs for Quantitative Analyst runs with an Online Assessment followed by a Superday. The Superday is described as back-to-back interviews with various team members to assess fit and skills. The overall difficulty is reported as average, with 40 reported interviews in the dataset.

How hard is it to get an offer for Goldman Sachs Quantitative Analyst interviews?

In the aggregated candidate reports, the most common interview difficulty level for Goldman Sachs Quantitative Analyst is marked as average. The same dataset shows a 0% offer rate in the recorded stats.

What topics are tested in the Goldman Sachs Quantitative Analyst interview for a Quant Strat?

Across recent Goldman Sachs Quantitative Analyst interviews, the top tested areas include Probability, Statistics, mathematical problem solving, and DSA. Candidates should also be ready for Linear Regression, Time Series Analysis, Linear Algebra or matrix theory, and Stochastic Modeling or expected value. Coding rounds commonly feature data structure and algorithm questions plus dynamic programming.

What coding and algorithm questions should I prioritize for Goldman Sachs Quantitative Analyst?

Expect to practice clean implementation of core data structures and algorithm patterns. The guide lists examples like implementing a hashmap from scratch, finding the middle element of a linked list or detecting a loop, and flattening a nested list of unknown depth. It also calls out dynamic programming and being able to explain time and space complexity.

What math and probability question types show up most for Goldman Sachs Quantitative Analyst?

Probability and statistics are central, including questions about independence versus correlation and Markov chains in stochastic processes. The guide also includes probability-style problems like flipping coins and using Monte Carlo methods to estimate pi. Stochastic modeling concepts such as biased random walks are also mentioned.

How much does Goldman Sachs pay a Quantitative Analyst, and how does it vary?

Candidate and job-posting reports put compensation for Goldman Sachs Quantitative Analyst at about $137,500 base up to $245,000 total. Pay varies by level and location, so you should expect different totals depending on which specific Quantitative Analyst level you are interviewing for.

Goldman SachsQuantitative Analyst

Updated Nov 17, 2025

Goldman Sachs Quantitative Analyst Interview Experiences 2026

Real, anonymous reports from people who interviewed for Quantitative Analyst at Goldman Sachs, newest first and distilled into what to expect across the loop.

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10 months ago

Average Negative Dallas, TX

I had an initial conversation with the hiring manager who laid out the process and explained what the next steps would be. After that, I moved into a coding interview with an engineer.

The coding question didn’t feel medium—it came across easier than I expected, and I couldn’t tell exactly what they were trying to evaluate. It also felt like it could be solved cleanly by any LLM, so my best guess was that they cared more about the thinking process and how I explained my approach than the difficulty of the output itself.

10 months ago

Difficult Positive United States

My Superday consisted of two separate 45-minute interviews. I was warned to expect a mix of math and probability topics, along with an algorithm question. Communication was emphasized too, so it wasn’t only about getting to the right answer—it was also about how I talked through the steps.

Even though it sounded broad, it felt pretty straightforward in intent: probability reasoning plus algorithmic thinking, delivered with clear explanations. I didn’t receive an offer, and what I’d reflect on afterward was that the math/probability portion rewards calm clarity; if I got too focused on solving quickly, I risked losing precision in my explanation.

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