Gained a lot of experience, but too slow to advance - Business Manager Bloomberg Employee Review

4.0
Aug 10, 2013
Recommend
CEO approval
Business Outlook

Pros

People are generally nice to work with and work is very hands on. Benefits are better than average and firm treats its employees well. Working here is relatively secure. Company has moved in the right direction with flex policy and letting employees change jobs internally.

Cons

Some departments work employees like crazy and micromanage. Others are the complete opposite. How hard you work often has no correlation with pay. Generally too slow to advance high performers because many managers have been at the company a very long time. On the other hand, those that become managers quickly are not necessarily qualified and get limited training on managing others. A very big downside of working in a flat structure is your fate is placed in the hands of of one or two individuals that control limited opportunities for promotion.

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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