Goldman Sachs Quantitative Analyst Interview Guide

The short answer: Goldman Sachs hires its quant analysts as Strats, short for Quantitative Strategists, and places them in its Engineering division. Goldman says campus applicants take an online assessment, where Quantitative Strategist applicants add a 22-minute math test, then a recorded video interview and a Superday of 2 to 5 interviews. Its Engineering interview prep material tells candidates for math-heavy roles to expect stochastic calculus or differential equations, probability and statistics, and programming. Candidate reports on Strats loops are thin. They describe probability questions and coding at the Superday, with content that depends on the desk. Last reviewed October 2026.

Goldman Sachs quantitative analyst interview: quick answers

The Goldman Sachs quantitative analyst role

What Goldman Sachs quantitative analysts work on, the skills its job postings ask for, and what a week can look like. Goldman Sachs posts the role as Strats (Quantitative Strategist), under the job function Quantitative Engineering.

Goldman Sachs quantitative analyst levels and pay

Your level sets the bar you are interviewed against and the pay band of the offer.

Goldman uses corporate titles: Analyst, Associate and Vice President. Campus hires join as Analysts. No Analyst-level US Strats posting with a pay range was found, so the pay table lists Associate and Vice President postings by title.

Pay in Goldman Sachs's US job postings

Goldman posts a base salary range on its New York Strats postings, and every posting read also mentions a discretionary bonus on top of base.

All seven postings are in New York and list base pay only; none states a bonus amount. Summer internship pay is not included. Ranges seen October 29, 2026.

Goldman Sachs quantitative analyst interview process

The stages follow Goldman's student prepare page, its guide to the online assessment and its Engineering interview prep material. That material covers all Engineering candidates, and Strats sit in Engineering. What each Superday interview asks comes from candidate reports, which are few.

Based on Goldman Sachs's own pages and candidate reports.

Goldman says campus recruiting should contact you within three weeks of the assessment and that it aims to respond within two weeks of an interview. It does not publish who makes the final decision. Last reviewed October 2026.

What is different at Goldman Sachs

• The title is Strat, or Quantitative Strategist, and the seat is in Engineering. Goldman lists Quantitative Strategists as one of four Engineering role types, and postings use the job function Quantitative Engineering. Titles vary by team: Quantitative Rates Trading Strat, Credit Desk Strategist, and Quantitative Researcher inside the Currencies and Emerging Markets Strats team. Quantitative Engineer in Core Engineering is closer to a quant developer seat, and Quantitative Volatility Trader is a trading role.
• Quantitative Strategist applicants take an extra test. Goldman says they add a 22-minute multiple-choice math challenge on probability, statistics, calculus and linear algebra to the coding challenge, and suggests a practice assessment first to learn the platform.
• Strats sit with desks. Postings describe working side by side with traders and sales on automated quoting, hedging algorithms, pricing models and electronic trading. Rates Strats run curve modeling and price rates derivatives and cash products.
• Strats work outside Global Banking & Markets too. Asset & Wealth Management has Strats teams such as PWM Risk Strats, which build risk metrics and machine learning models for fraud and anomaly detection. That posting asks for time-series and regression analysis, SQL and machine learning such as gradient boosting.
• Goldman's own guide says one assessment, the Software Diagnostics challenge, includes a built-in limited AI assistant that will not provide the full solution but can help with navigation, syntax or the problem statement. It mentions none for the math challenge. A June 2025 news report says a Goldman campus recruiting email prohibited external sources, including ChatGPT or Google search, during the interview process, and that a spokesperson said the same language goes to campus applicants for all positions.
• Goldman's Engineering prep material says live coding sessions usually take 45 to 60 minutes and are scored on problem solving, code quality, reading and writing code, and communication. Goldman asks candidates not to look up its live coding questions before the interview and not to share them afterward. It also says it interviews only through its approved video platform or a Goldman account on Zoom, which helps you spot recruiting scams.

Goldman Sachs quantitative analyst interview questions

Questions from our bank, then practice prompts we wrote for this guide around Goldman Sachs's work.

1import math
2import random
3
4def bs_call(s, k, r, sigma, t):
5    """Black-Scholes price of a European call."""
6    pass
7
8def mc_call(s, k, r, sigma, t, n_paths, seed=0):
9    """Monte Carlo price with antithetic variates. Return (price, standard_error)."""
10    pass

1import math
2import random
3
4def norm_cdf(x):
5    return 0.5 * (1.0 + math.erf(x / math.sqrt(2.0)))
6
7def bs_call(s, k, r, sigma, t):
8    d1 = (math.log(s / k) + (r + 0.5 * sigma * sigma) * t) / (sigma * math.sqrt(t))
9    d2 = d1 - sigma * math.sqrt(t)
10    return s * norm_cdf(d1) - k * math.exp(-r * t) * norm_cdf(d2)
11
12def mc_call(s, k, r, sigma, t, n_paths, seed=0):
13    if min(s, k, sigma, t) <= 0:
14        raise ValueError('s, k, sigma and t must be positive')
15    if n_paths < 4 or n_paths % 2:
16        raise ValueError('n_paths must be an even number of at least 4')
17    rng = random.Random(seed)
18    drift = (r - 0.5 * sigma * sigma) * t
19    vol = sigma * math.sqrt(t)
20    disc = math.exp(-r * t)
21    pairs = []
22    for _ in range(n_paths // 2):
23        z = rng.gauss(0.0, 1.0)
24        up = max(s * math.exp(drift + vol * z) - k, 0.0)
25        down = max(s * math.exp(drift - vol * z) - k, 0.0)
26        pairs.append(disc * 0.5 * (up + down))
27    m = len(pairs)
28    mean = sum(pairs) / m
29    var = sum((v - mean) ** 2 for v in pairs) / (m - 1)
30    return mean, math.sqrt(var / m)
31
32# Complexity: O(n) time for n paths, O(n) space for the pair values (a running sum makes it O(1)).

How to prepare

A plan for the Goldman Sachs loop, most important first:

1. Drill probability, statistics, calculus and linear algebra under a timer for the 22-minute math challenge, then take a practice assessment to learn the platform.
2. Practice data structures and algorithms problems in your strongest language, aiming for the optimal solution and its complexity.
3. Review stochastic calculus, Ito's lemma and option pricing basics, which Goldman lists for math-heavy roles.
4. Read the postings for the desk or team you want and learn its products, such as rates curves, currency options or wealth management risk.
5. Write three situational and behavioral stories on teamwork, problem solving and critical thinking for the recorded video interview.
6. Rehearse explaining every step out loud, since Goldman says interviewers want to follow your thought process.

Practice path

Courses that cover the rounds above:

• Probability for Quant Interviews
• Financial Mathematics
• Applied Statistics
• Advanced Statistics
• Time Series Forecasting