A few words... - Mitarbeiter (anonym) bei Bloomberg: Mitarbeiterbewertung

4,0
2. Jän. 2016
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

-Innovative; an original fin-tech company before it was an official category -Benefits; education reimbursements (historically) generous and healthcare coverage outstanding -Meritocracy; over the long haul, talented individuals will be rewarded for performance -Work/Life balance is very favorable

Kontras

-Very flat structure that often leaves little room to advance one's career, if someone is trying to advance as an internal hire; senior managers are generally outside hires. -Businesses are very silo'd, making it difficult to transition across groups easily -Although a fin-tech company; comp is generally below banking and below tech, yet still better than broader corporate

Mehr Bewertungen zu Bloomberg entdecken

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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