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      Bloomberg

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      Bloomberg reviews

      Lots of opportunities. Lots of ulcers. - Editorial Bloomberg Employee Review

      2.0
      Mar 4, 2015
      Editorial
      Recommend
      CEO approval
      Business Outlook

      Pros

      Incredibly fast-paced, oftentimes exciting work. You'll have the opportunity to work with some of the smartest people you'll ever meet. An incredible place to learn. Absolutely no job after the one you have here will feel difficult in comparison, but if you're anything like me, every other performance review you'll have in your life will call you "impatient" and "too demanding."

      Cons

      That pace can be killer, and so can the hours. I used to have vivid night terrors about 3 a.m. phone calls from this place (not out of place; frequently happened) telling me I needed to go back into work although I'd only left at 11, and get halfway out the door before realizing it was just a dream. Even worse than the hours was the toxic internal culture.

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      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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