Definitely a good 1st company to work for - Financial Software Developer Bloomberg Employee Review

4.0
Apr 21, 2016
Recommend
CEO approval
Business Outlook

Pros

- Working with smart people, most of them are ready to help - Well furnished pantry where you can grab a coffee with colleagues - Lot of training options for you to learn (even if not directly related to your working domain) - Possibility to move within the company (change team) - Get to travel quite a lot depending how much you are involved in outside-work activities - Philanthropy: if you like it, you can get involved into helping the world - Bloomberg matches most of the financial donation you make - Flexibility. If you have a good reason you can have a flexible schedule (6am - 4pm, for example) - In general, management will try to please employees (as well as interns)

Cons

- Long hours of work, not ideal for work/life balance - Team Leader management is sometimes flaky - Performance Review Evaluation doesn't seem to be consistent between teams, which make it unfair in some cases - You need to be ready to show-off to make sure you get noticed and get a fair review at the end of the year

Explore other reviews about Bloomberg

5.0
Apr 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Great culture, benefits, pay, and work-life balance

Cons

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

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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