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Been here a while ... seen ups and downs ... overall ok - werkgeversreview Senior Software Developer bij Bloomberg

3,0

13 jan 2013

Senior software developer

Aanbevelen

Goedkeuring directeur

Zakelijk vooruitzicht

Pluspunten

Great colleagues. Great benefits. Good compensation. Decent work life balance. Some software projects are interesting. Lately they are improving how software projects are run. There has been some relaxing of the unending emphasis on Time-to-Market (i.e. deliver something asap) to actually taking the time to build something cool.

Minpunten

Old and proprietary technology. There is no way around this. The terminal is an artifact from the 80s ... with several paint jobs. But hey it works! There are some teams working on cool stuff but they are the exception rather than the norm. Management is rigid and there is quite some bit of politics. Not always a meritocracy - more like a favoritocracy. But that is a fact of life everywhere. Big brother atmosphere - where everything is monitored. Lately this has been improving.

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5,0

22 apr 2026

Software engineer

Aanbevelen

Goedkeuring directeur

Zakelijk vooruitzicht

Pluspunten

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

Minpunten

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

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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