Excellent client focus and good practices - Financial Software Developer bei Bloomberg: Mitarbeiterbewertung

2,0
18. Sep. 2010
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Geschäftsprognose

Pros

Bloomberg LP clients are the most important people at Bloomberg LP, without exception. Implements industry standard best practices and more. Various benefits as mentioned in many other reviews.

Kontras

Frequent changes in library dependencies resulting in reduced productivity. Too much time is wasted getting your executable to link. There are an endless list of common technologies are used such as C++, Javascript, Unix, XML, SQL, and GTK, but there is still too much proprietary software and tools. In most teams, your performance is measured in terms of how well you are able to use Bloomberg-specific technologies, i.e. your mastery of Bloomberg-specific technologies.

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5,0
30. Juni 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

Great compensation, work life balance

Kontras

4 days a week on site

4,0
28. Juni 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

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.

Kontras

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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