It was a great experience. - Global Data Bloomberg Employee Review

4.0
Oct 11, 2013
Recommend
CEO approval
Business Outlook

Pros

it is a very fast paced environment and you have an opportunity to work with extremely intelligent people. Pretty relaxed as well, not a typical corporate setting with suit and ties everywhere. Hours are also very reasonable, so its not too hectic. Just expect to work while you are there. They reward hard workers pretty well, by moving them up the ladder quickly.

Cons

Some of the cons definitely include micromanaging. They are always watching in a way-to ensure you are doing the job properly. Another small downside is the high turnover and very little patience. If you do not perform immediately you're out of there. Finally, the amount of learning and exit opportunities are a little low as you won't really learn anything super useful for other jobs.

Explore other reviews about Bloomberg

5.0
Jun 25, 2026
Recommend
CEO approval
Business Outlook

Pros

great company to work for

Cons

I cant think of any ons

4.0
Jun 28, 2026
Recommend
CEO approval
Business Outlook

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.

Cons

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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