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      Choose your team wisely, but a great company. - Software Engineer Bloomberg Employee Review

      4.0
      Apr 22, 2017
      Software engineer
      Recommend
      CEO approval
      Business Outlook

      Pros

      Great salary and benefits. Work life balance was excellent. Was treated with a lot of respect and met a lot of brilliant people. The terminal is a killer product. If you're providing value, your career will be advanced and you will be rewarded. They definitely want to keep their employees happy. If you join the right team, you will be very happy here. I liked the company a lot more than I liked my day to day work.

      Cons

      Technology can be very stale. A lot of teams are stuck in the mud with no clear path to escaping their tech debt. The training class is a drag. A lot of employees feel like they've checked out and don't have much interest in learning new things so it can be difficult to move things along.

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      5.0
      Jun 25, 2026
      Software engineer
      Recommend
      CEO approval
      Business Outlook

      Pros

      great company to work for

      Cons

      I cant think of any ons

      4.0
      Jun 28, 2026
      Data management professional internship
      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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