Easy to join due to high staff turnover but don't stay - werkgeversreview Anonieme werknemer bij Bloomberg

1,0
11 mrt 2012
Anonieme werknemer
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

Start on £30k and it's an easy intro to finance. The office is nice and there are great networking opportunities if you get to know the right people in news or sales. If your career goal is to become a manager it's very quick to progress - some people get promotions within a month. Lots of different nationalities within the office too.

Minpunten

Management is known to be terrible (perhaps for reason above) so turnover rate within the company is very high. Anyone who is intelligent but does not wish to join management tends to leave within 1.5 - 2 years.Due to this the people in each team always have newbies who lack specialist knowledge. Also, the company is hugely bureaucratic which frustrates anyone with any intelligence or strong work ethic.

Ontdek andere reviews over Bloomberg

5,0
11 jun 2026
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

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

Minpunten

Not really cons, culture is great.

4,0
28 jun 2026
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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