Great perks but many middle-level managers need to be shown the door - Anonymous employee Bloomberg Employee Review

3.0
Jun 6, 2011
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

1. Great-looking office. 2. Friendly colleagues. 3. Some top editors are really good at the work and encourage people. 4. Looks extremely good on your CV. 5. Of course, the pantry. 6. Good benefits.

Cons

1. Middle-level managers are incompetent or lost or indifferent. Rare to find any other kind. This is a demotivating factor for most employees. 2. Long work hours. Kills any chances of having a life outside BBG, especially if people have long commutes. 3. Less opportunities for growth. Competence is not the factor that pushes people to higher positions. It's normally other considerations like how much the management likes you or how much you will bend according to the top guy's will. So basically need to be nice to the boss. 4. Little appreciation for great work. There are few managers who ensure an employee gets his or her due. 5. Bosses decide what the market wants. People work not because the market needs it but because the boss wants something done.

Explore other reviews about Bloomberg

5.0
Jun 25, 2026
Recommend
CEO approval
Business Outlook

Pros

great company to work for

Cons

I cant think of any ons

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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