JMP Group Review Data
19 total review submissions
| Year | Position | Location | Group/Division | Overall | ||
|---|---|---|---|---|---|---|
| 2018 | 1st Year Associate | San Francisco | Investment Banking | ............................................................… | ............................................................… | |
| 2019 | Intern | New York | Investment Banking | You hear horror stories of investment banking in terms of… | Small firm within a highly competitive field. This makes… | |
| 2018 | 1st Year Analyst | San Francisco | Generalist | Great collegiate culture with above average deal and senior… | The high turnover on the Associate level which leaves… | |
| 2019 | 2nd Year Analyst | San Francisco | Investment Banking | You get great exposure to senior bankers and you are given… | The hours and stress can be quite hard and long considering… | |
| 2019 | 2nd Year Analyst | San Francisco | Investment Banking | Good experience with a lot of responsibilities. High deal… | Hours are long and there is a staffing shortage. I do not… | |
| 2018 | Vice President | New York | Healthcare | The people are great and they are better than most when it… | The big two are that it’s a small shop and there are… | |
| 2017 | 1st Year Analyst | San Francisco | Healthcare | Good hours, people, projects. Small deal teams, access to… | Turnover high among junior team members. Training for… | |
| 2018 | Intern | SF | Generalist | Amazing! Probably best culture on the street; would highly… | High turnover, but overall every bank has high turnover due… | |
| 2018 | 1st Year Analyst | San Francisco, CA, USA | Healthcare | The company is large and the culture is very relaxed (… | Right now, I am just starting, but the hours are very long… | |
| 2011 | Intern | Chicago | Investment Banking | Really smart people and a solid work culture. Good deal… | As with most jobs, I'd assume, the hours were tough.… | |
| 2018 | 1st Year Analyst | San Francisco | Investment Banking | good culture, no BS work. Junior bankers get along very… | lots of equity deals in co-manager capacity. Good money… | |
| 2016 | Vice President | New York | Healthcare | You get lots of responsibility fairly quickly. People are… | Pay tends to be pretty low, management can be dishonest and… | |
| 2017 | 1st Year Analyst | San Francisco | Generalist | Really great company culture, very supportive work… | Companies we represent are pretty small, can definitely get… | |
| 2013 | Intern | San Francisco | Equity Research | Great software team with very helpful and friendly senior… | Not paid The research team you are on largely… |
|
| 2014 | 1st Year Associate | San Francisco | Investment Banking | Lean deal teams, access to senior management, exposure to… | M&A experience can lack at times, long hours, lots of… | |
| 2013 | 1st Year Analyst | San Francisco | Investment Banking | Culture is great, and solid deal exposure. Deal teams are… | Not too technical of an experience. Less models being made… | |
| 2000 | Research Associate | New York | Equity Research | Great culture, supportive management, ideal for career… | Lower than average pay. Even if you are an experience hire… | |
| 2013 | Intern | San Francisco | Equity Research | The hours were flexible and the company was very willing to… | My only gripe about this internship was that it was unpaid… | |
| 2012 | Managing Director | San Francisco | Investment Banking | Most employees are generally nice. Benefits are ok but not… | Worst management team i have ever worked with. Their… |
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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