KPMG Review Data
309 total review submissions
|2019||1st Year Associate||Liverpool||Generalist|
|2019||1st Year Associate||New York||Generalist|
|2019||Manager||London||Mergers and Acquisitions|
|2019||3rd+ Year Associate||LOS ANGELES||Real Estate|
|2019||Assistant Vice President||Budapest||Mergers and Acquisitions|
|2019||1st Year Analyst||Los Angeles||Risk Management|
|2019||Intern||Surulere||Government - Federal|
|2019||Intern||Milan||Financial Institutions Group (FIG)|
|2019||1st Year Associate||London||Credit|
|2018||2nd Year Associate||New York||Consulting|
|2018||1st Year Associate||McLean||Credit Risk|
|2018||1st Year Analyst||Salt Lake City||Audit|
|2018||2nd Year Analyst||Charlotte||Transaction Advisory Services|
|2018||Intern||Luxembourg City||Real Estate|
|2018||1st Year Associate||Washington||Generalist|
|2018||Intern||Vienna||Transaction Advisory Services|
|2018||3rd+ Year Associate||Dallas||Audit|
|2018||Consultant||New York||Commercial Banking|
|2018||Summer Associate Intern||Santa Clara||Mergers and Acquisitions|
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.
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