generally ok, experience depends on team - Software Developer Bloomberg Employee Review

3.0
Sep 5, 2013
Recommend
CEO approval
Business Outlook

Pros

Good training program, especially from outside lecturers. Fanciest office I have ever seen. Great view on 29th floor. Working hours generally ok, some teams are busier. Good benefits for people who are married/have children. People are generally nice.

Cons

This is based on my own experience, YMMV. Salary has no correlation with how hard you work/how much work you did. Reviews/raises are subject to favoritism of your manager. If your manager is nice, you are lucky; otherwise you are underpaid compared with your peers. Micromanagement was so much that I felt no work could ever be finished. Your own ideas don't matter at all, so it's better to shut up and do whatever you are told to. Lots of legacy code, most of the time was spent to figure out a couple of seemingly trivia issues.

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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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