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      Stable, Fun, Full of Opportunities - Anonymous employee Bloomberg Employee Review

      4.0
      Feb 24, 2015
      Anonymous employee
      Recommend
      CEO approval
      Business outlook

      Pros

      Job security is commonly sensed among employees here. We believe in attracting talents when others downsizes. The work is fun and challenging. You never know what issue will come up in the next 5 minutes. The market moves too fast to sit around. You get to work with profound clients and discover your new analytical abilities. The open communication culture fosters ideas and innovations. If you are persistent, you will make the impact.

      Cons

      There is no clear selection criteria for the team representative to fly to the HQ to receive training or to advocate projects. The opportunity is not openly discussed.

      Explore other reviews about Bloomberg

      5.0
      Jul 8, 2026
      Finance analyst
      Recommend
      CEO approval
      Business outlook

      Pros

      good pay, great team, lots of experience gained

      Cons

      mundane tasks sometimes, can be competitive

      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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