Ernst & Young LLP Review Data
332 total review submissions
Pages
Year | Position | Location | Group/Division | Overall |
|---|---|---|---|---|
| 2019 | 1st Year Analyst | shanghai | Mergers and Acquisitions | |
| 2019 | 1st Year Analyst | New York, NY, USA | Restructuring | |
| 2019 | Intern | Minneapolis | Generalist | |
| 2019 | Intern | Amsterdam | Risk Management | |
| 2019 | 1st Year Analyst | Philadelphia | Consulting | |
| 2019 | Other | New York | Assurance | |
| 2019 | 1st Year Analyst | Houston | Energy | |
| 2019 | Intern | Boston | Accounting | |
| 2019 | Intern | Nantes | Other Advisory | |
| 2019 | 1st Year Analyst | New York | Transfer Pricing | |
| 2019 | Assistant | Ankara | Tax | |
| 2019 | Assistant | Dallas | Risk | |
| 2019 | 1st Year Analyst | New York | Financial Services | |
| 2019 | Senior Consultant | Chicago | Financial Institutions Group (FIG) | |
| 2019 | 2nd Year Analyst | Melbourne | Technology, Media and Telecom (TMT) | |
| 2019 | 2nd Year Associate | New York | Consulting | |
| 2019 | 1st Year Associate | Athens | Generalist | |
| 2019 | 1st Year Analyst | Los Angeles | Technology Consulting | |
| 2019 | Summer Associate Intern | New York | Financial Institutions Group (FIG) | |
| 2019 | Accountant | Winnipeg, MB | Assurance | |
| 2019 | 2nd Year Analyst | New York, NY, USA | Structured Products FSR | |
| 2019 | Senior Consultant | Tysons | Mergers and Acquisitions | |
| 2019 | 1st Year Analyst | Shenzhen | Generalist | |
| 2019 | Intern | Dallas | Corporate Banking |
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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