KPMG Review Data
320 total review submissions
Year | Position | Location | Group/Division | Overall |
|---|---|---|---|---|
| 2019 | 1st Year Associate | Liverpool | Generalist | |
| 2019 | 1st Year Associate | New York | Generalist | |
| 2019 | 3rd+ Year Associate | LOS ANGELES | Real Estate | |
| 2019 | Manager | London | Mergers and Acquisitions | |
| 2019 | Intern | NYC | Generalist | |
| 2019 | Assistant Vice President | Budapest | Mergers and Acquisitions | |
| 2019 | 1st Year Analyst | Los Angeles | Risk Management | |
| 2019 | Summer Associate Intern | London | Mergers and Acquisitions | |
| 2019 | Intern | Surulere | Government - Federal | |
| 2019 | 1st Year Associate | London | Credit | |
| 2019 | Intern | Milan | Financial Institutions Group (FIG) | |
| 2019 | Intern | Ottawa | Generalist | |
| 2019 | 1st Year Analyst | New York | Financial Services | |
| 2019 | Intern | London | Other | |
| 2019 | 2nd Year Associate | Washington | Public Finance | |
| 2019 | Intern | Milwaukee | Real Estate | |
| 2019 | Intern | Singapore | Valuation | |
| 2019 | Manager | Hamburg | Financial Services | |
| 2019 | 2nd Year Associate | Budapest | Mergers and Acquisitions | |
| 2019 | Intern | Beijing | Industrials | |
| 2019 | Summer Associate Intern | New York | Debt Capital Markets | |
| 2019 | Senior Consultant | Chicago | N/A | |
| 2019 | Intern | Ottawa | Risk | |
| 2019 | Consultant | Long Beach | Technology Consulting |
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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