Bloomberg's a great place to learn about the markets. - Recensione dipendente - Dipendente anonimo presso Bloomberg

3,0
30 giu 2012
Dipendente anonimo
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

What you learn on the job, great product, cool offices, great place to learn about the broader markets. Especially as a place to launch your career, it's hard to do better. If you are interested in the markets to any breadth or depth, you will learn far mor in a year here than in two years in the best MBA program.

Svantaggi

There is no clear job progression, and it seems to firm hires a lot of people with little real idea of how they will contribute. The work life balance is tough - long work hours, and the micro-monitoring of employees goes far beyond any other place I have worked for before or since.

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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