Angelo Gordon & Co Review Data
8 total review submissions
|2020||2nd Year Associate||New York||Operations||Great culture, benefits, and tons of social events to meet…||Individual managers have tight control on their teams which…|
|2019||1st Year Associate||Chicago||Leveraged Finance||Great culture and very high visibility with the leadership…||Unpredictable nature of the job with private equity deals;…|
|2020||1st Year Analyst||New York||Distressed Debt||Reasonably interesting work, and a reasonably smart…||Interesting work for the most part, but long hours. Very…|
|2020||Accountant||New York||Distressed Debt||Culture is good, lots of fun events and good vibe in the…||Culture broke down during covid, no one gave a shit about…|
|2020||Intern||New York||Real Estate||Angelo Gordon is a great company with an amazing culture…||There was not really any cons to be honest. The only con I…|
|2019||Assistant Vice President||Chicago||Structured Products||Great experience in the private debt space. Partners are…||Lower pay than other market participants; longer hours at…|
|2019||1st Year Analyst||New York||Real Estate||Great place to work. Very lax culture. The deal flow is…||For the most part, I have little to say. Relative to my…|
|2012||Director||New York||Collateralized Mortgage Obligations (CMO)||Great working hours. Proximity to Grand Central. Pay…||Very large organization, so you risk getting lost in the…|
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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