
PwC's Quantitative Analyst interview process often includes a screening test, a resume-focused HR conversation, a lightly technical interview, and a conversational final round, with technical content varying by track, including ESG-specific risk questions for the ESG Quantitative Analyst variant.
$123K
Avg. Base Comp
$160K
Avg. Total Comp
2-4 rounds
Typical Rounds
Not reported
Process Length
PwC's Quantitative Analyst hiring process is less about algorithmic drilling and more about proving you can communicate clearly under a bit of pressure. Across candidate reports, the pipeline typically opens with a screening stage — a proctored online assessment, a campus aptitude test, or, in one case, a timed behavioral assessment with roughly 40 questions plus a 2-3 minute speaking prompt. From there, candidates move into interview rounds that blend HR-style fit questions with lighter technical checks.
The recurring thread is a direct "why PwC" question, in one case phrased as why the firm over other Big Four competitors, paired with a close read of your resume and past projects. Technical depth varies: one candidate was asked to define logistic regression and explain calls versus puts, another got a market-sizing prompt, and a campus-hire candidate described the technical round as mostly conversational skill assessment rather than anything highly specialized. A separate ESG Quantitative Analyst report describes technical questions tied to climate risk concepts — physical versus transition impact, how environmental factors affect bank default probability, credit risk, the EBA's role, and Python/stress-testing basics — delivered more like a discussion than a case study.
Final rounds, when present, tend to be conversational and partner- or associate-led, circling back to motivation and cultural fit. Reported outcomes are mixed across candidates, so treat any single person's experience as one data point rather than a fixed script.
Synthesized from 6 candidate reports by our editorial team.
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Real interview reports from people who went through the Pwc process.
First, an online English test must be completed.
Then, the interviews were conducted only on Teams. The questions were mainly:
For the technical interview, it was mainly questions about how things work rather than a case study. It was more like a conversation with technical questions at certain moments.
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Topics based on recent interview experiences.
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| Question | |
|---|---|
| Hurdles In Data Projects | |
| Size of Joins | |
| Sort Strings | |
| Data Preparation for Imbalanced Data | |
| Overfit Avoidance | |
| Slow SQL Query | |
| Company Acquisition Choice | |
| Electricity Supply | |
| Data Cleaning Experiences | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Clustering Basketball Players | |
| Creating Companies Table | |
| Feedback Sentiment Analysis | |
| 2nd Highest Salary | |
| Rolling Bank Transactions | |
| Maximum Profit | |
| Merge Sorted Lists | |
| Bagging vs Boosting | |
| Longest Streak Users | |
| Real-Time Transaction Streaming | |
| Top 3 Users | |
| Raining in Seattle | |
| Fair Coin | |
| Assumptions of Linear Regression | |
| Missing Housing Data | |
| Duplicate Rows | |
| Find the First Non-Repeating Character in a String | |
| Forecasting New Year Revenue |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report different screening formats depending on track: a proctored online assessment, a campus aptitude test, or, in one case, a timed behavioral assessment with about 40 questions plus a 2-3 minute spoken-response prompt. An ESG Quantitative Analyst candidate also described an online English test at this stage. Expect this step to filter for aptitude and communication clarity rather than deep technical skill.
Multiple candidates describe an early conversational round focused on introductions, a walkthrough of your resume and projects, and direct questions like what differentiates you from other candidates, why you want to work at PwC, and whether you're flexible on working arrangements. One candidate also fielded a separate HR call covering background and career goals before any technical discussion began.
Technical depth varies by candidate and track: one report included defining logistic regression and distinguishing calls from puts, another included a market-sizing question, and a campus-hire candidate described the round as mostly about explaining personal projects clearly rather than solving advanced problems. A separate ESG Quantitative Analyst candidate was asked about physical versus transition climate risk, how environmental factors affect bank default probability, credit risk, the EBA's role, and Python/stress-testing basics, delivered conversationally rather than as a case study.
Candidates who reached a final stage describe it as conversational and led by a partner or associate. It circles back to why PwC specifically (in one case phrased as why PwC over other Big Four firms), along with basic company-knowledge questions. One candidate noted the final stage still included a market-sizing question despite its informal tone, so it may be low-pressure but is not purely social.