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Good company to have on your resume. Terrible company to work for! - werkgeversreview Anonieme werknemer bij Bloomberg

1,0

24 feb 2013

Anonieme werknemer

Aanbevelen

Goedkeuring directeur

Zakelijk vooruitzicht

Pluspunten

Good health benefits from day 1. Free snacks in the pantry.

Minpunten

Everything is based on favoritism and not on competence nor qualifications. My manager was extremely unprofessional and always promoted people who she was friends with. Mainly several 20 year olds that took the effort to kiss some butt. Straight out of college kids that had no experience and became team leaders within as soon as three months and were managing senior employees with more exeprience and qualifications within the department. On top of that, the Head of the department seemed not to care about these circumstances as well. The whole structure of the company is a charade. I couldn't wait to get out of there, even though it took me two years to resign. Why I sateyed that long? I was hoping for things to change and improve. I didn't happen.

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5,0

25 jun 2026

Software engineer

Aanbevelen

Goedkeuring directeur

Zakelijk vooruitzicht

Pluspunten

great company to work for

Minpunten

I cant think of any ons

4,0

28 jun 2026

Data management professional internship

Aanbevelen

Goedkeuring directeur

Zakelijk vooruitzicht

Pluspunten

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.

Minpunten

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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