Reasonable place to work as software engineer, great place to work for everyone else - Financial Software Developer Bloomberg Employee Review

4.0
Jan 19, 2010
Recommend
CEO approval
Business Outlook

Pros

- junior hires given good load of responsibilities - salary and bonuses are good - free snacks (better than microsoft, worse than google) - satisfied customers (having worked at other companies, the high level of customer satisfaction is abnormal and deeply rewarding). - new york city is much more fun than san francisco, boston, or seattle, but that's just my opinion ;).

Cons

- no offices - time not as flexible as other tech companies - expected to be on call after hours. for IT/networking/systems people this may be normal, but as a software engineer, I was not used to this. - culture of kissing up to higher levels (worse than other tech companies, but better than most non-tech corporate environments). many superficial efforts are made to combat this, but it is still present - no company cafeteria leads most people to eat at their desks rather than with co-workers - no white boards (maybe that's a pro for some people).

Explore other reviews about Bloomberg

5.0
Jun 30, 2026
Recommend
CEO approval
Business Outlook

Pros

Great compensation, work life balance

Cons

4 days a week on site

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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