Idiosyncratic, but okay - Software Developer Bloomberg Employee Review

4.0
Feb 6, 2017
Recommend
CEO approval
Business Outlook

Pros

Bloomberg has its head screwed on internally and treats the development department as a core department, not a cost center. Teams are quite regimented, but there is opportunity for internal transfers. Instead of a christmas party, Bloomberg holds an enormous summer party in the park, families invited, which I found a nice way of handling things. The grad training program is excellent, if extremely hard work.

Cons

A serious case of Not Invented Here, you will often be working with old technologies or internal stacks. At least they are generally of decent quality. The london office felt a bit marginalized by New York. Don't expect to get financial experience - Financial news is not the same as finance, and developers are well isolated from business concerns anyway.

Explore other reviews about Bloomberg

5.0
May 6, 2026
Recommend
CEO approval
Business Outlook

Pros

Great place to work if you are looking for work life balance

Cons

The data department has very limited growth opportunities

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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