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      Great packages, but not a great place to learn - Senior Software Developer Bloomberg Employee Review

      3.0
      Apr 6, 2009
      Senior software developer
      Recommend
      CEO approval
      Business Outlook

      Pros

      Great building, competitive salary, excellent benefits package, multi-cultural environment. If you are fresh from college, have no work experience, or would like to find someone to date, an excellent place to work! Unlikely to get fired for any reason. Free food. Really high turnover, so you may get a sales job even if you were a programmer.

      Cons

      The technology is ancient (the majority). A lot of programmers are simply maintaining legacy code (fortran, c) that cannot be retired or converted. The company also uses a TON of proprietary software, all developed in-house. For example, they've created their own Service oriented architecture (ala WSDL), two home-grown databases, entire UI framework, and other things.

      Explore other reviews about Bloomberg

      5.0
      Jun 30, 2026
      Supply chain project manager
      Recommend
      CEO approval
      Business Outlook

      Pros

      Great compensation, work life balance

      Cons

      4 days a week on site

      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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