Great Place if your'e on a great team - Software Developer Bloomberg Employee Review

4.0
Dec 4, 2016
Recommend
CEO approval
Business Outlook

Pros

I'm on a product that impacts many clients. As a result, always lots of work to do from implementing new features to optimizing performance My team almost feels like a startup in that each person's contributions are valued and needed

Cons

as the product i work on is already pretty mature, the features i work on sometimes feel like micro optimizations to an already very stable product would like to see more analytics from features we ship, and would like to be more involved on what we do with such feedback. It seems like we never look back, and even if we create a feature that isn't used, we never seem to ask why we always have tight deadlines ahead of us, and so implementing these new features takes priority sometimes i wonder what the product vision is

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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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