Morgan Stanley Review Data
416 total review submissions
Pages
Year | Position | Location | Group/Division | Overall |
|---|---|---|---|---|
| 2019 | Intern | Shanghai | Private Equity | |
| 2019 | 1st Year Analyst | London | Financial Sponsors | |
| 2019 | Intern | London | Sales and Trading | |
| 2019 | Intern | New York | Sales and Trading | |
| 2019 | 1st Year Analyst | New York | Securities | |
| 2019 | Intern | New York | Private Wealth Management | |
| 2019 | Intern | London | Generalist | |
| 2019 | 1st Year Analyst | Budapest | Derivatives | |
| 2019 | Summer Associate Intern | New York | Debt Capital Markets | |
| 2019 | 1st Year Associate | New York | Public Finance | |
| 2019 | Intern | Atlanta | Private Wealth Management | |
| 2019 | 1st Year Associate | New York | Generalist | |
| 2019 | 1st Year Associate | New York | Risk Management | |
| 2019 | 1st Year Associate | New York | Strategy and Operations | |
| 2019 | Executive Director | London | Compliance | |
| 2019 | Summer Associate Intern | San Francisco | Investment Banking | |
| 2019 | Summer Associate Intern | New York | Investment Banking | |
| 2019 | 2nd Year Associate | New York | Debt Capital Markets | |
| 2019 | Intern | New York | Investment Grade Finance | |
| 2019 | 1st Year Analyst | New York | Finance | |
| 2019 | Summer Associate Intern | Mount Laurel Township | Private Wealth Management | |
| 2019 | 1st Year Associate | New York | Generalist | |
| 2019 | Intern | New York | Technology, Media and Telecom (TMT) | |
| 2019 | Summer Associate Intern | New York | FICC - Fixed Income Currency and Commodities |
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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