Either a good place to start or a good place to retire - Recensione dipendente - Dipendente anonimo presso Bloomberg

3,0
3 set 2021
Dipendente anonimo
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

work life balance can be good if that's important to you, benefits are good, people are generally nice, lots of freedom to explore interests a good place to start your career and transition to corporate life a good place to "retire" since benefits are good if your willing to sacrifice salary/growth

Svantaggi

little mobility, company politics at play, flat structure translates to limited growth opportunities, raises are minimal YoY, you are definitely underpaid compared to peers, transparency is fake, employees are told one thing but management actions differently

Esplora altre recensioni su Bloomberg

5,0
30 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great compensation, work life balance

Svantaggi

4 days a week on site

4,0
28 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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.

Svantaggi

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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