Stable company, decent pay - Sales bei Bloomberg: Mitarbeiterbewertung

4,0
12. Jän. 2014
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CEO-Befürwortung
Geschäftsprognose

Pros

Bloomberg has a very systematic approach to sales. If you are able to conform to the Bloomberg way, you can succeed. There are multiple opportunities to learn about other areas of the business and with the media/news arm, it gives finance people exposure to a different industry. The benefits at BBG are fantastic.

Kontras

The grading system is very rigid here. If you are an out of the box thinking or an independent type of employee who does not like guidance, this may not be the place for you. The company rewards loyalty over intelligence and hard work. Managers have too much power here. There is not a lot of work/balance life as the company likes to advertise. Some "lifers' feel comfortable taking "work from home" days but generally its frowned upon and you are expected to be in the office as if you are working on the clock.

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5,0
11. Juni 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

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

Kontras

Not really cons, culture is great.

4,0
28. Juni 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

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.

Kontras

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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