Perfect example of corporate wellfare - Recensione dipendente - Dipendente anonimo presso Bloomberg

1,0
19 nov 2012
Dipendente anonimo
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Mountains of chips and rivers of soda... at the same time an on going compain to "B fit" No co-pay medical and 4 weeks of vacation, which is plenty needed to recover from all "innovations" that going on.

Svantaggi

I am a bit lost after reading all 5 star reviews. Was I working for the same company??? Is there another Bloomberg? The company I spent >>> read wasted<<< several years at is a perfect example of ACME INC. Management that's been there forever. No advancement opportunities at all. Any direction you look, you'll see red tape. The only way to go up the corp ladder is to branch off your own group. As a result there are hundreds of those groups with very narrow set of tasks, way to improve marketability (not). Propriatary dated technology throughout. ... Management that will not define anything and has very little to none technical skills!

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5,0
11 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Svantaggi

Not really cons, culture is great.

4,0
28 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Opportunities to do lots of work with data and finance to apply knowledge in both programming and Subject-Matter Expertise (SME). Excellent Work-Life Balance (WLB) and extremely welcoming culture. You can reach out to anyone for help or just to talk, and they will get back to you (although management does require more scheduling in advance). Generous compensation (good wage) and benefits, including housing for interns. If you heard the rumors that the Bloomberg Princeton office has a great Bloomberg Pantry (read: company-provided breakfast and lunch), the rumors are true.

Svantaggi

Not the place for those looking for cutting-edge AI. The company is not as fast with AI as the company prioritizes reliability and accuracy above all, and much of AI is not at an acceptable threshold for management to be willing to take that risk with financial data (at least in 2026). You may get a project to automate menial processes, which is really cool, but that tends to involve actually doing the menial processes, which feels unproductive. Princeton office is good but New York is considered preferable. Coworkers are not very reachable outside of work hours. Compensation is low in Data compared to Software Engineers.

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