Good place to work, would help if management decisions were explained more clearly - Senior Software Engineer Bloomberg Employee Review

4.0
Feb 21, 2009
Recommend
CEO approval
Business Outlook

Pros

The atmosphere is fast paced, the salary is decent as are the bonuses (at least so far), communication channels are fairly clear compared to many other places I've worked. I've seen some complaints about programmer notes in some of the other posts, but at least there are systems for tracking issues, projects and work completed--I've worked in many places outside the finance industry where things aren't nearly as clear-cut. Many of the Plan B changes appear to be intended for improving retention, especially for employees with families. Bloomberg used to be notorious for requiring "face time" from employees; having the option to work at home for a day when kids are sick makes life a lot easier.

Cons

The hours can be long, it is expensive to live in/near NYC, and sometimes upper management decisions are a mystery.

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5.0
Jul 21, 2026
Recommend
CEO approval
Business Outlook

Pros

great training, continuing education resources, and work life balance

Cons

difficult to assess level as mid-senior level engineer, lots of in-house technologies still used

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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