Decimating your programming career - Mitarbeiter (anonym) bei Bloomberg: Mitarbeiterbewertung

1,0
14. Sep. 2018
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

- Graduate program and training is good (they pay you to train you), after that get out asap. - Fish tanks and free food

Kontras

- Legacy stack, all the things you will be working with feels like 1980s - Fire fighting - Things didn't break why fix it - Nothing new and challenging, this is a huge killer for me - Limited tech stack you can use - You don't normally get to choose which team you end up with - The new building is so focus on being cool looking, it forgets that people need quite work space, with enough toilets and non-squeaky wooden floor and private sit down meeting spaces. Yep, that is all that is lacking.

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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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