Very nice, but boring - Senior Software Developer bei Bloomberg: Mitarbeiterbewertung

3,0
13. Sep. 2014
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Pros

Bloomberg really takes care of its employees. The management is painfully nice and polite, and the pay is very generous for the work they have us do.

Kontras

The biggest challenge for me was that the work was just so boring. The technologies used are ancient, and honestly, I hate the terminal. I did not appreciate having to use the terminal to get even the most simple tasks done. There's a culture of building everything in-house, and this is NOT a good thing. There are fantastic databases and email clients out there, but Bloomberg employees are instead stuck using some guy's afterthought side project instead of those functional outside products. It's a serious drain on productivity. Also, the process to move code to beta and production is extremely draconian and micro-managed. In any other company, I could accomplish in two weeks what it took me two months to do at Bloomberg. If you envision yourself having a "cushy" job and being a "lifer" and loving that lifestyle, you'll love Bloomberg. If you feel even a modicum of passion for your work (as a developer), you might want to think twice.

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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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