Avoid Global Data as the plauge - Anonymous employee Bloomberg Employee Review

1.0
Jun 14, 2013
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

hmm....Friendly colleagues and 1 month notice period.

Cons

I have been working for this meat factory for 2 years now and if you like a sweatshop work environment this is the company for you. *Salary is crap and new hires get more paid than people who have stayed with the company for more than 3 years. *You will learn NO, i repeat, NO transferable skills, except knowing two or three functions on the terminal very well. *The work is repetitive and requires no intellect at all. A monkey with half of a brain would have no problem doing the "analysis" required for this type of work. *Evaluation is based on some stupid black box metric system which boils down to how much you suck up to management. Brown nosing is key. *There is no career progression whatsoever. I do not consider being promoted to team leader or rather admin leader as a career progression. *There are no words in the world that would describe how bad and appalling the management style is. Foxconn mangement is way better than BBG.

Explore other reviews about Bloomberg

5.0
Jul 21, 2026
Recommend
CEO approval
Business Outlook

Pros

great training, continuing education resources, and work life balance

Cons

difficult to assess level as mid-senior level engineer, lots of in-house technologies still used

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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