Mesirow Financial Review Data
9 total review submissions
|2019||1st Year Analyst||Chicago||Debt Capital Markets||Very entrepreneurial, your ideas will actually be heard.…||Average age is older than most. Comp is below street.…|
|2019||Intern||Chicago||Generalist||Everyone I met was really friendly. They had the mindset…||none. I honestly cannot really think of any. The only thing…|
|2019||Intern||Chicago||Investment Banking||Great culture and management…||Low pay and not a lot of tangible work…|
|2019||Intern||Chicago||Human Resources||Very nice website with access to many different financial…||Hard to navigate and get used to the site. This site has…|
|2019||Intern||Chicago||Investment Banking||Really fun workplace environment, good co-interns, very…||Not really anything! Hours were fine. WSO wants me to write…|
|2018||2nd Year Associate||Chicago||Mergers and Acquisitions||Great office space in downtown Chicago right on the river…||Significant amount of transactions are industrial, limited…|
|2017||1st Year Analyst||Chicago||Investment Banking||Not terrible hours. Good culture would recommend to a…||Pay is a bit under the market value, not great exit…|
|2017||Intern||Chicago||Generalist||Great company in terms of people and interview process.…||Not as prominent as many of the other middle market firms…|
|2015||Intern||Chicago||Debt Capital Markets||Senior partner accessibility, camaraderie, high deal flow,…||Sometimes hours can be long,but again, associates and VPs…|
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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