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      Bloomberg

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      Recensioni su Bloomberg

      Choose your team wisely, but a great company. - Recensione dipendente - Software Engineer presso Bloomberg

      4,0
      22 apr 2017
      Software engineer
      Consiglia
      Gradimento del CEO
      Pronostico commerciale

      Vantaggi

      Great salary and benefits. Work life balance was excellent. Was treated with a lot of respect and met a lot of brilliant people. The terminal is a killer product. If you're providing value, your career will be advanced and you will be rewarded. They definitely want to keep their employees happy. If you join the right team, you will be very happy here. I liked the company a lot more than I liked my day to day work.

      Svantaggi

      Technology can be very stale. A lot of teams are stuck in the mud with no clear path to escaping their tech debt. The training class is a drag. A lot of employees feel like they've checked out and don't have much interest in learning new things so it can be difficult to move things along.

      Esplora altre recensioni su Bloomberg

      5,0
      22 apr 2026
      Software engineer
      Consiglia
      Gradimento del CEO
      Pronostico commerciale

      Vantaggi

      Great culture, benefits, pay, and work-life balance

      Svantaggi

      The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

      4,0
      28 giu 2026
      Data management professional internship
      Consiglia
      Gradimento del CEO
      Pronostico commerciale

      Vantaggi

      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.

      Svantaggi

      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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