Sagent Advisors - 7 Reviews
7 total review submissions
| Year | Position | Location | Group/Division | Overall | ||
|---|---|---|---|---|---|---|
| 2018 | 1st Year Analyst | new york | Investment Banking | good culture generally, but depends quite a lot on who you… | not great brand name which is a poor setup of recruiting,… | |
| 2018 | 1st Year Analyst | new york | Investment Banking | good culture generally, but depends quite a lot on who you… | not great brand name which is a poor setup of recruiting,… | |
| 2018 | 1st Year Analyst | New York | Generalist | Overall, the hours were not as bad as some of my friends at… | The quality of the deals is not very strong. Alot of… | |
| 2006 | 1st Year Analyst | New York | Generalist | Opporutnity experience many deal types in many industries.… | Limited resources for training or support. Long hours.… | |
| 2014 | Intern | Chicago | Mergers and Acquisitions | Very close office. They maintain a small headcount to… | Small office with growth prospects lacking. It seems that… | |
| 2013 | 2nd Year Analyst | New York | Mergers and Acquisitions | Lean deal teams, associate level responsibilities at early… | No bulge bracket deal size/range, pay discount compared to… | |
| 2011 | 1st Year Analyst | San Francisco | SF | Very nice people, they actually care about you and want you… | Sagent is not well-known in the bay area and hence the lack… | |
| 2010 | 1st Year Analyst | N/A | Mergers and Acquisitions | small organization hands-on experience with clients… | lack of exit oppo and brand name long hours … |
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.
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