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      Good in bursts until a reorg hits you - werkgeversreview Financial Software Developer bij Bloomberg

      4,0
      21 feb 2014
      Financial software developer
      Aanbevelen
      Goedkeuring directeur
      Zakelijk vooruitzicht

      Pluspunten

      The best learning experience of all in core C++, server side coding, templates, JS async framework etc. Then out of nowhere a reorg happens and you are left with nothing that you built with so much hard work. Good pay, amazing benefits (best in NYC), pretty building, rarely fires (always puts on performance plans), very fast learning CEO discussed voluntary work that I did with them, they have amazing matches with your community involvements (they matched for me $5k to my charity for my voluntary hours)

      Minpunten

      Too many reorgs (not just my team but others too) Very competitive, hard to get an exceeds expectations. Proprietary tech, at times too fast paced, steeper learning curve

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      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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