Worst Mistake of my Career - Senior Developer Bloomberg Employee Review

1.0
May 2, 2014
Recommend
Business Outlook

Pros

Stability, prestige, it's a "nice" place to work. You get free snacks and coffee.

Cons

Endless streams of soul-destroyingly tedious work. Work that could easily be automated if the proprietary systems you'll have to rely on didn't... I guess the only way to say it is completely suck. Almost nothing you'll learn will apply in any other environment. The platforms and practices are so eclectic to Bloomberg that if you try and take them anywhere else, you're not going to know what you're doing. Things like career development, ideas like advancement simply don't exist there. You will be dumped into a massive pool of coders and basically just bang away at a keyboard until one day, you die. I weep for the torrents of inbound kids, fresh from school, looking to start a career and what they have in store for them. Bloomberg, the world is bigger than you. There are ways of doing things so foreign, so superior to yours that surely they appear to be some form of dark magic, and I understand your fear but if you push through it a little bit, you might be capable of amazing things. I quit, good luck.

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5.0
Jun 25, 2026
Recommend
Business Outlook

Pros

great company to work for

Cons

I cant think of any ons

4.0
Jun 28, 2026
Recommend
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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