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      Bloomberg

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      Avoid if you like technology and want to write good software - werkgeversreview Financial Software Developer bij Bloomberg

      2,0
      15 jun 2009
      Financial software developer
      Aanbevelen
      Goedkeuring directeur
      Zakelijk vooruitzicht

      Pluspunten

      - Great benefits - Good compensation - Casual work environment - Market leader - Good place to coast your career if you just want a stable job - No layoffs...yet

      Minpunten

      - No emphasis on software design - entire mentality is focused on getting the job done as quickly as possible. - Managers actually discourage you from spending too much time designing code! - A lot of legacy code that is poorly written with no documentation - Management is very set on their ways - TONS of proprietary software - Lack of professional development. - Most likely will not learn much regarding software development...but you might learn a lot about finance

      Ontdek andere reviews over Bloomberg

      5,0
      30 jun 2026
      Supply chain project manager
      Aanbevelen
      Goedkeuring directeur
      Zakelijk vooruitzicht

      Pluspunten

      Great compensation, work life balance

      Minpunten

      4 days a week on site

      4,0
      28 jun 2026
      Data management professional internship
      Aanbevelen
      Goedkeuring directeur
      Zakelijk vooruitzicht

      Pluspunten

      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.

      Minpunten

      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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