The Worst Employer of My Life - Anonymous employee Bloomberg Employee Review

1.0
Feb 15, 2017
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Benefits are good, but relatively poor salary. Essentially, golden hand cuffs for many due to long-term profit sharing plan. Some really nice people. Free snacks.

Cons

In my subjective opinion, very aggressive business culture regarding both employees and clients/stakeholders. This made me feel depressed for a long time, even after leaving Bloomberg, as I couldn't ever accept their business culture and values. It was demoralizing to see how employees were treated as a commodity -- employee turnover was very high and people just didn't stay. Very low organizational structure meant that there was very little career upside. To my mind, Bloomberg's HR practices were aggressive and questionable as well. Just as an example, they did not allow their employees to organize a labor union, although this right is separately addressed in the UN's Human Rights Declaration.

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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