Nice company - Software Engineer Bloomberg Employee Review

4.0
Jun 13, 2021
Recommend
CEO approval
Business Outlook

Pros

Nice company, I enjoyed working there. It genuinely cared for its employees. There was a good atmosphere, great perks like the pantry and the amazing family-friendly summer party, continuous learning with lots of offerings for online and face to face training and the flexible working from home policy, with all the tech in the office supporting people connecting from home or collaborating remotely. Great engineering community. Very good philanthropy and volunteering culture, I felt proud to be part of Bloomberg and have so many genuine opportunities to make an impact Comp was good but not as good as in other Big Tech or finance companies, at least back then (I left a few years ago)

Cons

Too much outdated, proprietary tech, I felt a lot of it wouldn't be useful in my next jobs. Hard to use cutting-edge tech. Employees could have a totally different experience, great or awful, depending on their management chain. And not much was done to quickly correct management issues leading to stress, anxiety and attrition.

Explore other reviews about Bloomberg

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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