KKR (Kohlberg Kravis Roberts) Review Data
21 total review submissions
|2019||Intern||San Francisco, CA, USA||Other|
|2019||Intern||New York||Debt Capital Markets|
|2018||2nd Year Associate||San Francisco||Technology, Media and Telecom (TMT)|
|2018||1st Year Analyst||Tokyo||Equity Capital Markets|
|2018||1st Year Associate||beijing||Generalist|
|2018||3rd+ Year Associate||new york||Technology, Media and Telecom (TMT)|
|2018||Intern||South Ozone Park||Private Equity|
|2018||2nd Year Analyst||New York||Credit|
|2018||2nd Year Associate||Houston||Generalist|
|2018||1st Year Associate||New York, NY, USA||Generalist|
|2018||2nd Year Analyst||New York||Investor Relations|
|2017||3rd+ Year Associate||New York||Operations|
|2017||2nd Year Associate||San Francisco||Fixed Income|
|2017||1st Year Associate||San Francisco||Generalist|
|2013||3rd+ Year Analyst||New York||Equity Capital Markets|
|2012||3rd+ Year Analyst||Hong Kong||Generalist|
|2011||1st Year Associate||London||KKR|
|2010||Manager||New York||Information Technology (IT)|
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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