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      Bloomberg

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      Solid first job but not perfect - Account Manager Bloomberg Employee Review

      4.0
      Feb 27, 2025
      Account manager
      Recommend
      CEO approval
      Business Outlook

      Pros

      -Work-life balance is great. Most people can be out of the office by 5-6. -You can work some of the best minds in the finance industry -Pay is good for the amount of work you put in

      Cons

      -Corporate politics are alive and well. If you suck up to your manager, you'll be pigeon hold. -Horizontal Career Structure: Some people like this, but there are such few managerial positions that a "promotion" is moving to a different team but as the same position. -You can be the best performer but if you're not playing the bloomberg game, you'll be stagnant in your career there. -The company is not innovative any more. Things move real slow and not much room for creativity.

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      5.0
      Jul 16, 2026
      Acounts manager
      Recommend
      CEO approval
      Business Outlook

      Pros

      Great benefits and people are very supportive

      Cons

      Flat hierarchical structure is tough sometimes to crack

      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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