A wild ride - Anonymous employee Bloomberg Employee Review

2.0
Jun 27, 2017
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Fantastic benefits, a core fully grounded in philanthropy and community development, a truly challenging work environment

Cons

Loyalty at Bloomberg, in my opinion, is equated with tenure rather than merit. Organic growth is encouraged but perhaps to a fault where tenured managers are cycled in to positions where they lack the ability to succeed and can, as a by product seriously damage morale. Historically unprecedented RIF's have created a protectionist environment, breeding a culture of escalation, eroding the sense of team and partnership - I certainly work harder when pushing towards a common goal rather than waiting to step on the next land mine.

Explore other reviews about Bloomberg

5.0
Jun 11, 2026
Recommend
CEO approval
Business Outlook

Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Cons

Not really cons, culture is great.

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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