A vibrant and motivated workplace - Mitarbeiter (anonym) bei Bloomberg: Mitarbeiterbewertung

4,0
10. Dez. 2011
Mitarbeiter (anonym)
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Pros

1. Great compensation package, especially for the journalism profession 2. Colleagues were encouraging and extremely smart. I felt little to no feelings of animosity of politicking which are usually apparent in other workplaces. 3. Pantry, it makes the workplace feel like a home. 4. That air of transparency and openness about what we do. It's refreshing 5. Great communication between countries

Kontras

1. Big companies can be unwieldy, but management has handled it well enough with weekly e-mails and town halls. I can't suggest a better alternative for now. 2. Pressure to meet bonuses can be stressful, but that's just part of the job and it motivates you to exceed it.

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5,0
8. Juli 2026
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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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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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