Bloomberg Global Compensation Team - Recensione dipendente - Specialist, Global Compensation Team presso Bloomberg

1,0
6 lug 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

If you're new to compensation, this role can help you build advanced Excel skills and develop some understanding of key compensation areas.

Svantaggi

It's a fairly demanding, high-turnover environment, and the way they do compensation doesn't really reflect industry norms. They burn through talent quickly and end up having to rehire before every busy season, since that's when most people leave. You can expect a lot of manual Excel work, very long hours, and seven-day workweeks during peak periods.

Esplora altre recensioni su Bloomberg

5,0
8 lug 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

good pay, great team, lots of experience gained

Svantaggi

mundane tasks sometimes, can be competitive

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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