KPMG Review Data
274 total review submissions
Pages
Year | Position | Location | Group/Division | Overall |
|---|---|---|---|---|
| 2019 | Consultant | Los Angeles | Valuation | |
| 2019 | Consultant | Melbourne | Corporate Finance | |
| 2019 | Intern | San Francisco | Valuation | |
| 2019 | Consultant | Melbourne | Corporate Finance | |
| 2019 | 1st Year Analyst | Los Angeles | Risk Management | |
| 2019 | Intern | Surulere | Government - Federal | |
| 2019 | Assistant Vice President | Budapest | Mergers and Acquisitions | |
| 2019 | Intern | Milan | Financial Institutions Group (FIG) | |
| 2019 | Intern | NYC | Generalist | |
| 2019 | Intern | Ottawa | Generalist | |
| 2019 | 1st Year Analyst | New York | Financial Services | |
| 2019 | 2nd Year Associate | Budapest | Mergers and Acquisitions | |
| 2019 | Intern | Ottawa | Risk | |
| 2019 | 1st Year Associate | Los Angeles | Asset Backed Securities | |
| 2019 | Consultant | Long Beach | Technology Consulting | |
| 2019 | Intern | New York | Valuation | |
| 2019 | Accountant | Johannesburg | Generalist | |
| 2018 | Senior Consultant | Houston | Management Consulting | |
| 2018 | Auditor | San Francisco | Audit | |
| 2018 | Intern | Atlanta | Advisory | |
| 2018 | Director | San Francisco | Mergers and Acquisitions | |
| 2018 | 3rd+ Year Analyst | Munich | Due Diligence | |
| 2018 | 1st Year Associate | New York | Mergers and Acquisitions | |
| 2018 | 2nd Year Associate | San Francisco | Risk Management |
Pages
Overview
Overall Ranking is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.
The number you see in the middle of the donut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.
The Overall Ranking is generated based on the Company Reviews.
- 1 Star
- 2 Stars
- 3 Stars
- 4 Stars
- 5 Stars
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