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      Bloomberg

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      Bloomberg reviews

      Opportunities and awesome colleagues - Data Team Bloomberg Employee Review

      5.0
      Jan 5, 2018
      Data team
      Recommend
      CEO approval
      Business Outlook

      Pros

      The best part about working for Bloomberg is the people and learning opportunities. -Collaborative environment -Flexible and open to ideas, very little red tape -Opportunities to innovate and make reality of ideas -Fast moving, lots of change -Lots of opportunity to learn new skills -People are very friendly, smart and always willing to help

      Cons

      -Flexibility comes with unstructured, which is a plus if you are good at creating relationships, networking and proactive. Tough if you expect opportunities to come to you

      Explore other reviews about Bloomberg

      5.0
      Jul 10, 2026
      Quantitative developer
      Recommend
      CEO approval
      Business Outlook

      Pros

      Great work-life balance with nice benefits and interesting client work

      Cons

      A bit slow-moving in terms of AI adoption for internal tools

      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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