Citadel Review Data
30 total review submissions
|2020||1st Year Analyst||new york||Generalist||- Intelligent peers. I worked at both FAANG and Citadel and…||Nothing really. Work load can be a lot but it was never an…|
|2020||Developer||Chicago||N/A||Great pay, enjoy working with smart people. Tech stack is…||Long hours from time to time. Lack of career growth…|
|2021||Quant||New York||Quantitative Research||compensation is okay, nothing else really positive. hours…||no job security and turnover is quite insane. company…|
|2019||Engineer||New York||Technology||Decent pay, great colleagues, great direct managers.…||On-call rotation, some business customers, lack of…|
|2018||1st Year Associate||New York||Equity Research||For the pros, I would note that the overall compensation…||In terms fo the cons, the people were overall fairly sharp…|
|2020||Summer Associate Intern||New York||Investment Research||Good name brand recognition, relatively a good place to get…||.....It's citadel, what can i say. high stress level,…|
|2020||Intern||New York||Trading||People were very nice and take time to answer questions.…||Very long work hours, and this seems uniform across all the…|
|2019||Quant||New York||N/A||Very smart and interesting colleagues and an atmosphere…||Priorities can change quickly due to the nature of the firm…|
|2016||1st Year Analyst||New York||N/A||Good pay, good growth potential, good services, basically…||Everything else is terrible. Terrible work culture,…|
|2020||Intern||Chicago||Engineering||Lots of ownership of project and what you get to do. High…||More hours than expected coming from tech background.…|
|2019||Research Associate||Chicago, IL, USA||Quantitative Research||Quite happy. Get to work on whatever I want and leverage…||Wish the profit sharing was more transparent. Sometimes it…|
|2020||3rd+ Year Associate||CHICAGO||Generalist||Good pay and a competitive environment. Excellent…||High-pressure job with difficult deadlines. Very fast-paced…|
|2018||Quant||Chicago||Quantitative Research||Talented co-workers to work with. Good benefits. Free meals…||Career path not clear. The title is not following any…|
|2019||Engineer||Chicago||N/A||The pay is fantastic especially when considering that…||(This is currently all conjecture right now because I haven…|
|2018||Intern||Chicago||Generalist||- Good infrastructure.
- Meritocratic: performance…
|- People are expected to work long hours.
|2019||Intern||New York, NY, USA||Hedge Fund||Great perks/compensation, everyone is extremely willing to…||Work life balance isn't the greatest, hours can be…|
|2019||Quant||Chicago||Research||Interesting and challenging problems. Work with very…||Average work life balance. A lot of pressure from…|
|2018||Summer Associate Intern||State College||Strategy||…||as,…|
|2018||Intern||Chicago||Generalist||work life balance is pretty good most of the time and the…||unfortunately the racial diversity is not stellar, and the…|
|2019||Intern||Chicago||Quantitative Research||Very interesting work. Not much office politics. Hours are…||Not much culture. People are cold to each other to a large…|
|2019||Intern||Chicago||Treasury||The team I was on was very happy to assist in the learning…||The work each day was fairly difficult and intense. From…|
|2019||1st Year Analyst||Hong Kong||Equities||Good pay, good benefits, strong support resources. It'…||Really impersonal, if you ever become inconvenient they…|
|2017||1st Year Associate||Chicago||Quantitative Research||Excellent compensation; Benefits are near impossible to…||Up/Out. High pressure; high turnover. Teams are…|
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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