pay isnt very competitive, and you have no chance to negotiate reviews 99% of the time - Customer Support Specialist bei Bloomberg: Mitarbeiterbewertung

3,0
21. Mai 2009
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CEO-Befürwortung
Geschäftsprognose

Pros

The people without a doubt - as with any office you find people that you just don't have much in common with, or particularly like. But the employees are so diverse you can't really go wrong - you'll always meet a bunch of people you become great friends with

Kontras

The pay... below market rates generally. The starting rate hasn't been changed in over 10 years - that is a fact. I think 5-10 years ago, pay reviews etc were fantastic, but since hierarchy has had a reshuffle, they've cut back in a big way in this area... i can only remember 1 or 2 people employed in the last couple of years who were happy with their pay reviews

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5,0
22. Apr. 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

Great culture, benefits, pay, and work-life balance

Kontras

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

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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