Great Company But Unfortunately Wrong Team - Financial Analyst Bloomberg Employee Review

3.0
Jul 5, 2023
Recommend
CEO approval
Business Outlook

Pros

-Bloomberg will help you fulfill any reasonable career goals/transitions you may want. Just pray your team is flexible. -People avoid drama -Access to terminal is useful

Cons

-It is better not to go above and beyond here . Managers take that and squeeze even more without treating you any better -by avoiding drama people sweep problems under the rug, but managers keep making staff touch the rug so at least leave the whole thing alone! -management thinks for short-term and doesn't think of what's sustainable for team -staff with serious personality issues are being supported because they're chummy with the right people. they get invited for coffee while capable people just get handed more work with no recognition.

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5.0
Apr 22, 2026
Recommend
CEO approval
Business Outlook

Pros

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

Cons

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

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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