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      Bloomberg

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      Great place to work in the right area - Software Engineer Bloomberg Employee Review

      5.0
      Feb 24, 2021
      Software engineer
      Recommend
      CEO approval
      Business Outlook

      Pros

      I work in a great area. I have a lot of room for personal development and am actively encouraged to grow. There are leadership opportunities that regularly are made available, but you can stay as an IC if that's what you prefer. There's a ton of collaboration and the group works on interesting things.

      Cons

      There's a lot of emphasis on delivery, to the point where it can be valued over people skills for leadership positions. An over-emphasis on "impact" from management makes it hard to advocate for KTLO work unless it can be bundled into a project. Slowing down on work for quality can be used against an IC if the TL does not buy in. Various parts of ENG are very different culturally. Software infrastructure is generally good.

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      5.0
      Jul 7, 2026
      Video editor
      Recommend
      CEO approval
      Business Outlook

      Pros

      Company has a lot of perks itself in terms of volunteering, health insurance, food etc.

      Cons

      Was difficult to move up unless you really were close to someone higher up.

      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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