Hard work but worth it if you're talented and in the right team - Senior Software Engineer Bloomberg Employee Review

4.0
Nov 1, 2009
Recommend
CEO approval
Business Outlook

Pros

Great offices with a great kitchen (snacks, drinks, breakfast) Feeling of being plugged into an amazing communications network 24/7 (also a con) Ask for more responsibility and you'll get it (be careful how much you ask for) [Some] very intelligent and interesting work colleagues Good at spotting and rewarding talent Great focus on environmental issues, carbon footprint and recycling Great benefits

Cons

Working hours Work life balance That 24/7 plugged-in feeling works both ways [Some] not very intelligent and interesting work colleagues Technology not cutting edge (unless you're very talented and able to push something new) Lots of maintenance of existing systems Types of work, job satisfaction and colleagues very dependant on which team you join

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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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