Cult culture, poor growth - Recensione dipendente - Bond Analyst presso Bloomberg

2,0
1 mag 2020
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Free lunch at the Princeton office, decent entry level salary. Good work balance for those that prioritize it.

Svantaggi

Work on the data teams is a monotonous mix of low level customer service and data entry. While this is the most important function for the firm (most revenue comes from people seeking this information), they pay higher salaries to people with jobs that are net losers in terms of revenue. The culture at Bloomberg is standard but everyone has been conditioned to think it’s superb so that is all people ever talk about is the culture. You can spend 20 years there and earn middle class money, if that’s the life you’d like to live.

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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