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Kpmg UsCompany guide
Updated weekly · Reviewed by the Dataford team

Kpmg Us interview process & guide 2026

Interview difficulty 4.8 / 10Based on 610 interview reports

Everything we know about interviewing at Kpmg Us: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.

ConsultantBusiness AnalystFinancial AnalystSecurity EngineerSoftware EngineerData Analyst
Practice Kpmg Us questionsSee the process

At a glance

4.8/ 10
Interview difficulty 4.8 / 10
Rated by candidates who reported interviewing here. Harder than 65% of companies we track.
11
Role guides
610
Interview reports
12
Topics tracked
$132k
Median total comp
5 rounds
  1. 1
    Initial screening call (recruiter and/or HR)
  2. 2
    Online assessment
  3. 3
    Core evaluation phase, technical interviews
  4. 4
    Case study and leadership discussions
  5. 5
    Final interview with senior management and partner or managing director
01 · Overview

Interviewing at Kpmg Us

KPMG US uses a multi-step interview loop that mixes recruiter or HR screening with multiple technical and leadership conversations. Several roles report back-to-back sessions with senior managers, partners, and senior accountants, and the process is described as structured and conversational rather than adversarial.

Across reported topics, the loop heavily tests practical analytics and data work, with Python fundamentals, SQL, Data Analysis, and Case Study or Business Case all at the top of the topic distribution. You will also see GenAI and corporate governance as prominent topics, plus problem solving, scenario-based reasoning, and behavioral interviewing skills.

Expect a process that can include an online assessment and then one or more technical rounds, followed by final interviews with senior management and partner or managing director level discussions. Candidate reports suggest the process can run long and can include work-like deliverables such as building slides before an interview, with communications described as clear and respectful.

Good to know

The single most useful thing to bank on is that the evaluation is built around how you frame and execute on a business case. Even when questions are framed as open-ended, interviewers use your approach to judge whether you can translate reasoning into day-to-day work, not just whether you have a single correct answer.

02 · Difficulty and outcomes

How hard is the Kpmg Us interview?

Aggregated from 610 interview experiences
Difficulty mix
Easy23%
Medium64%
Hard13%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
55%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

334 offers across 610 reports with a stated outcome.
Experience sentiment
68%positive
Positive 68%Neutral 24%Negative 8%
03 · The loop

The interview process, end to end

5 rounds · based on 610 candidate reports
  1. 1
    Initial screening call (recruiter and/or HR)

    You speak with a recruiter to discuss your background and assess fit for the role, and HR may be involved to review your background and interest in a specific role such as Risk Analyst. Prepare a clear summary of your experience and why this role fits your background.

    fit for role · communication · background alignment
  2. 2
    Online assessment

    You may complete an online assessment that tests logical, numerical, and English language skills, and it evaluates initial technical skills. Expect multiple-choice style questions in some cases, including logic and math-logic.

    At-home, role dependent · logical reasoning · numerical skills · English language skills
  3. 3
    Core evaluation phase, technical interviews

    You go through one or more rounds focused on technical expertise and scenario-based reasoning. This phase can include deeper dives into past experiences and technical capabilities, and in some reports you may complete a group exercise or even a CTF-style challenge, depending on the role.

    Multiple rounds · technical expertise · scenario-based reasoning · problem solving
  4. 4
    Case study and leadership discussions

    You may analyze a simulated client engagement, formulate a data strategy, and present recommendations, then discuss scenarios with senior staff. Several roles report back-to-back interviews with senior managers, partners, and senior accountants, with a mix of behavioral and technical themes. Some candidates report preparing slides before an interview and defending points from them.

    Back-to-back sessions, role dependent · case analysis · data strategy · stakeholder-style communication
  5. 5
    Final interview with senior management and partner or managing director

    You have a final discussion with senior management, where you may present case studies or discuss relevant scenarios. Partner or managing director level interviews focus on strategic fit and career alignment, sometimes framed as a structured but conversational exchange.

    Final stage, role dependent · strategic fit · career alignment · leadership communication
04 · Topic breakdown

What Kpmg Us actually tests for

How prominent each skill is across reported loops
100%
Excel
100%
Generative AI (GenAI)
100%
SOC (Security Operations Center)
100%
Data Analysis
100%
Corporate Governance
87%
Python
83%
Power BI
80%
Problem solving
79%
Problem Solving
70%
Behavioral interview skills
61%
Scenario-Based Reasoning
41%
Online assessments
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Kpmg Us interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Consultant
109 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Business Analyst
25 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Financial Analyst
23 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Showing 11 of 11 role guides
Account Executive
Questions and loop structure
Open guide
AI Engineer
Questions and loop structure
Open guide
Data Analyst
$40k-$241k
Open guide
Data Scientist
$45k-$200k
Open guide
Operations Manager
Questions and loop structure
Open guide
Risk Analyst
Questions and loop structure
Open guide
Security Engineer
Questions and loop structure
Open guide
Software Engineer
Questions and loop structure
Open guide

Real interview experiences

What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.

Consultant
06 · Compensation

What Kpmg Us pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $132k
Level$0kTotal comp range$250kTotal
All levels
Base $40k-$241k
$40k-$241k
Ranges blend verified compensation data points. Base + stock + annual bonus shown. Estimates only.
07 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Practice Python fundamentals and SQL in the context of data analysis tasks, since Python fundamentals, Python, SQL, and Data Analysis are all top-percentile topics in the question data. Be ready to explain your choices and reasoning step by step.
  • Run case study practice that focuses on how you frame the problem and propose a data strategy, since Case Study or Business Case and Data Analysis are highest prominence. Prepare a clear structure for your recommendations and assumptions.
  • Prepare for scenario-based reasoning and problem solving, since these are highly prominent topics. Use examples where you turn ambiguous requirements into a concrete plan and trade-offs.
  • Bring in evidence from past work for both behavioral and stakeholder style questions, since behavioral interview skills and behavioral competencies appear alongside technical work. Connect your examples directly to the role work described in the conversations.

Avoid this

  • Do not treat the process as purely technical or purely behavioral. The reported rounds repeatedly combine behavioral themes with technical or scenario-based questions, including in back-to-back formats.
  • Do not show up only with “school-level” knowledge. Even when some reports describe earlier rounds as approachable, the topic list includes GenAI, corporate governance, and SDLC, so you should be ready to discuss how concepts apply to real work.
  • Do not be vague in a case or scenario. Reports describe open-ended cases that depend on how you frame your thinking, and interviewers ask questions that probe why you chose your approach.
  • Do not underestimate prep formats. Some candidate reports describe preparing slides before the interview and then defending points from those slides, so treat any pre-work requirement as part of the evaluation.
08 · FAQ

Kpmg Us interview FAQ

Answered from real candidate and workplace data
How hard is the overall process, based on candidate reports?

Candidate reports show 23.8% easy, 61.6% medium, 12.2% hard, and 2.4% very hard. Positive sentiment is 65.2%, and the reports frequently describe the tone as respectful and conversational.

What does KPMG US actually test in interviews, beyond “fit”?

The extracted topic distribution is dominated by SQL, GenAI, Python fundamentals, Data Analysis, and Case Study or Business Case. The process also includes problem solving, scenario-based reasoning, and behavioral interview skills, so you should expect both technical execution and how you reason in real scenarios.

Is there an online assessment, and what is it like?

Two roles report an online assessment. The assessment is described as testing logical, numerical, and English language skills, and one report also describes a home test with multiple-choice questions across English, logic, and math-logic.

How long is the loop, and what happens at the end?

The data does not provide an overall timeline. It does show multiple steps after screening, including technical interviews and then final interviews with senior management and partner or managing director level discussions, sometimes including case studies or scenarios.

What should I prioritize studying most?

Prioritize SQL and Python fundamentals first, then Data Analysis and Case Study or Business Case, since these are at the top of the topic distribution. Also prepare for GenAI and corporate governance, plus problem solving and scenario-based reasoning.

What is the offer rate from candidate reports?

The aggregated offer rate in the candidate reports is 0.0%. The dataset also shows 65.2% positive sentiment, so the interviews can feel respectful even though offers were not reported in the aggregate.

09 · Keep prepping

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