Not worth the stress - Recensione dipendente - Data Specialist presso Bloomberg

2,0
11 gen 2021
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

You have the opportunity to become a pro in using the worlds leading financial data tool.

Svantaggi

1) If you are not interested in middle management there is no room for progression in the GD department 2) Extremely rigid structure which hinders those looking to innovative 3) Complicated hierarchy 4) Nonexistent internal mobility 5) Poor remuneration - annual salary may seem reasonable but is below the market average due to the 50 hour week 6) Lack of salary transparency

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.

Vedi recensioni per: Utile|Valutazione|Data|Tutto