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      Bloomberg

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      Bloomberg reviews

      It all depends on the manager and the particular team! - Software Engineer Bloomberg Employee Review

      4.0
      Feb 18, 2014
      Software engineer
      Recommend
      CEO approval
      Business Outlook

      Pros

      Bloomberg is a great company if your manager is supportive and you like working in a communal environment.

      Cons

      Lower management has a lot of power and autonomy at Bloomberg and if for whatever reason (personal, racial, or maybe your higher level of education than theirs, etc.) they are not supportive of you, they can make a lot of unfair decisions regarding your pay and green card application. Most people have bachelor's or master's degrees at Bloomberg and sometimes older employees view newer people with higher degrees as threats to their careers due to its flat structure. So, I actually don't recommend Bloomberg if you have a higher education degree.

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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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