Starwood Capital Group Review Data
8 total review submissions
|2020||Manager||Phoenix||Real Estate||Hours aren't too bad and flexibility is high. The work…||Pay is lower than market, especially on bonus. Very little…|
|2019||1st Year Analyst||New York||Real Estate||Good pay, interesting work, opportunistic deals are very…||Sweatshop hours, analysts do a ton of grunt work, many…|
|2019||Intern||Greenwich||Portfolio Management||Great team, great environment, flat structure, great…||Work life balance for sure, not much else past that.…|
|2016||1st Year Associate||Greenwich||Generalist||Did not accept offer for employment. I decided to stay…||Did not accept offer for employment. I decided to stay…|
|2017||2nd Year Analyst||Greenwich||Asset Management||free lunches, good technical support, good resources.…||long hours, many managers don't appreciate junior…|
|2018||1st Year Analyst||Greenwich, CT, USA||Real Estate||Great pay, great culture, inspiring directors. The people…||So many hours, a lot of grunt work. To be fair, you make a…|
|2016||1st Year Analyst||New York||Real Estate||The firm has a very casual vibe to it. People get their…||The base pay and bonus are less than many comparable jobs…|
|2016||Vice President||Greenwich||Real Estate||Strong team, ability to get creative and run with it as…||Sometimes can feel like you need to show your face even if…|
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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