You do a lot of shiit work but the manager still says you need to reach out more just because he dsnt see you kissingA$$ - Global Data Bloomberg Employee Review

1.0
May 26, 2011
Recommend
CEO approval
Business Outlook

Pros

good benefit good pantry nice fishtank good place to learn on finance industry, but learning curve is not steep.. get really BORED after a while!

Cons

salary and bonus are belong market rate in SINGAPORE manager only promote who they like(need to kiss a lot of asses) there are a lot operational work needed to be done but manager do not see that as exceptional. and they still question you on why you don't stand out, be more creative and innovative. there is no TIME! but they said time can be made... HUH? Managers are not specialist in the products. They only know how to butter things to their manager.

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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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