Good place to work, depending on your team - Software Engineer Bloomberg Employee Review

5.0
Aug 22, 2020
Recommend
CEO approval
Business Outlook

Pros

Bloomberg does try to match you as best as they can to a team that you want. It’s cool to work on such an important piece of software too (the Bloomberg terminal). Also, the philanthropy program is quite good. Compensation and benefits are competitive

Cons

While there are opportunities for growth and learning, you are still bounded by Bloomberg architecture to an extent, but teams are moving towards utilizing more industry standard practices

Explore other reviews about Bloomberg

5.0
Jun 1, 2026
Recommend
CEO approval
Business Outlook

Pros

Free food, good salary, incredible Pro Bono opportunities

Cons

Lack of flexibility around RTO policy

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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