Great packages, but not a great place to learn - Reporter bei Bloomberg: Mitarbeiterbewertung

2,0
3. Juli 2008
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CEO-Befürwortung
Geschäftsprognose

Pros

Great benefits packages. They take care of you. It's a culture that prizes efficiency above all else. It's easy to get postings abroad. They're the dominant player in the financial data market.

Kontras

There is little flexibility in terms of people's roles. The company has grown so fast that it is no longer as entrepreneurial as it used to be. It is incrementally innovative but never fundamentally innovative. The culture seems to prize the amount of hours employees spend at the terminal as opposed to the quality or originality of ideas they contribute. Loyalty is also paramount.

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5,0
8. Juli 2026
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Geschäftsprognose

Pros

good pay, great team, lots of experience gained

Kontras

mundane tasks sometimes, can be competitive

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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