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      Bloomberg

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      POOR MANAGEMENT - Avis employé Employé (anonyme) Bloomberg

      1,0
      31 août 2017
      Employé (anonyme)
      Recommande
      Approbation du PDG
      Perspective commerciale

      Avantages

      None. Really can't think of any.

      Inconvénients

      The company does not value or care about their employees. The management and the human resources department are a total joke. They may seem like a nice and big company but they are not interested in your well-being and work/life balance whatsoever. One of the examples: There was (I bet they were & are still) a sexual harassment by one of the Bloomberg anchors which was reported several times to HR, but the HR told and convinced the victim that the anchor has a wife and family so just to forgive him and do not tell people. The victim was asked to delete all the phone call records from the nasty anchor and eventually left the company.

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      5,0
      22 avr. 2026
      Software engineer
      Recommande
      Approbation du PDG
      Perspective commerciale

      Avantages

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

      Inconvénients

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

      4,0
      28 juin 2026
      Data management professional internship
      Recommande
      Approbation du PDG
      Perspective commerciale

      Avantages

      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.

      Inconvénients

      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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