Gelber Group Review Data
9total review submissions
Year | Position | Location | Group/Division | Overall | ||
---|---|---|---|---|---|---|
2016 | Junior Trader | Chicago | N/A | Good hours, pay commensurate with performance, great people… | Little training for the job, very few benefits although… | |
2018 | Trader | Chicago | Quantitative Research | Great office, great benefits, free gym access, free lunch… | Silo model. Lack of collaboration between teams.… | |
2017 | Trader | Chicago | Generalist | There is the freedom to do what you want, and a very… | They throw you into the deep end and expect you to figure… | |
2018 | Intern | Chicago | 万博app网页版 | This company has a great culture and lots of friendly… | Not enough pushing from management to reach the best… | |
2017 | Intern | Chicago | Prop Trading | The best part about working here was the ability to trade a… | The worst part about the internship was the lack of hands-… | |
2017 | Intern | Chicago | Prop Trading | Very few. Gelber is lead by non-quant traders so if you are… | Managers spent less than an hour per week with interns. We… | |
2013 | Intern | Chicago | Trading | - Very open feedback from managers and take your ideas… | - Base compensation might be lower than industry, but if… | |
2014 | Intern | New York | Prop Trading | -Hands on work as an intern -Great technology access… |
-Work is not super satisfying/fulfilling -Work can… |
|
2013 | Trading Assistant | Chicago | Multi-strat prop | -The immediate people I work with are good people who… | -Communication between different groups is scarce. -… |
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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