Secure company but low on compensation - Recensione dipendente - Research Analyst presso Bloomberg

2,0
23 apr 2013
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

* Stable company, dominant position in industry * Good health benefits * Ability to transfer to worldwide offices * Good work-life balance

Svantaggi

* Tenure-based compensation * Little vertical opportunities, flat structure highly prohibitive to innovation * unqualified middle management * lack of encouragement to advance career with MBAs, business education. No recommendations provided for future employers or even part-time college programs * NO RE-HIRE policy

Esplora altre recensioni su Bloomberg

5,0
6 mag 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great place to work if you are looking for work life balance

Svantaggi

The data department has very limited growth opportunities

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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