Finance and Administration - Anonymous employee Bloomberg Employee Review

2.0
Jun 14, 2011
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Great benefits Reasonable amount of time off on a annual basis Professional offices and great surroundings Fancy environment Free food and snacks.

Cons

Incompetent Management No recognition for hard work, strong work ethic Unequal distribution of work and those who do not do much work at all, get away with doing not much. Very few people do any real work at all, there are only a few percentage of people who do actual work while others slack off and management although they know about do not do anything at all to correct this. Low morale hence resulting in many becoming demotivated. No passion or drive by management to grow its people and even if you want to s ucceed, you cant move ahead in your career here at all. Management is not strong enough to provide a clear sence of direction and leadership. Its very poor, and also very demotivating to be in a workplace that although it has a great name, on the inside the lack of growth, development and diversification of skills is limiting.

Explore other reviews about Bloomberg

5.0
Jun 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Good management + good people + work life balance

Cons

NA - can be stressful

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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