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Bloomberg

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Bloomberg reviews

Good work environment, lots of daily work - Anonymous employee Bloomberg Employee Review

5.0
Jun 19, 2022
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

- Good compensation - Learning opportunity - Analysts can initiate different projects - Easy to collaborate and initiate cool ideas

Cons

- Too much manual detailed work that is repetitive (of course you can work on initiating projects to improve the efficiency, but probably not) - Team leader might be out of touch of the “ACTUAL PRODUCT”. To be honest, I don’t think experienced hire don’t really make great team leaders within Bloomberg. Bloomberg provides a wide range of product that requires a very particular mentality to fit in, and succeed. I’ve seen too many external hire TLs struggle.

Explore other reviews about Bloomberg

5.0
Jul 23, 2026
Senior software engineer
Recommend
CEO approval
Business Outlook

Pros

Great work life balance and coworkers

Cons

No cons, this was a good place to be with nice coworkers

4.0
Jun 28, 2026
Data management professional internship
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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