Needham & Company Review Data
9 total review submissions
|2021||1st Year Associate||san francisco||Investment Banking||Strong junior culture with friendly and open senior bankers…||Compensation / perks are limited. Relative performance has…|
|2020||1st Year Analyst||New York, NY, USA||Mergers and Acquisitions||Great senior folks, collegial culture and entrepreneurial…||Long hours, demanding senior folks. Occasional useless…|
|2019||2nd Year Analyst||New York||Equity Research||The happiest thing is that you can study your favorite…||The working time is too long, the intern has no chance to…|
|2015||3rd+ Year Analyst||New York||Investment Banking||Good exposure to clients |
Really make an impact for…
|Culture is awful, people who suck up are rewarded |
|2018||Intern||New York||Investment Banking||- Friendly and welcoming group of individuals|
|- Work wavers with how busy the managing directors are…|
|2018||Intern||Boston||Investment Banking||Was very happy with my experience at Needham & Company…||No interaction with clients. Running on windows 7 software…|
|2017||Research Associate||New York||N/A||Good work life balance for the industry. Senior analyst is…||Outdated/slow technology. Some dislocation between senior…|
|2011||3rd+ Year Associate||New York||Generalist||A great place to work. Great culture and the people are…||Salary for junior bankers (analyst & associate) is well…|
|1st Year Analyst||New York||Investment Banking||The guys in California seemed nice. Some of the younger…||Cultural cancer. No respect for people. Pervasive culture…|
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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