Great overall - Recensione dipendente - Customer Support Representative presso Bloomberg

4,0
7 feb 2017
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

great benefits and health care - the company does really take care of you in that sense. better than average work environment free snacks and fancy offices flexibility in working arrangements (work from home, leaves, etc) lots of opportunities to move within the company if you network right and work hard enough but it can be hard to find. after all, it is not a financial institution, it is a tech company and a data vendor.

Svantaggi

lack of vision in career path - you need to keep yourself motivated and educated to get ahead of the game. The top managers are great, your direct boss can be awesome - middle managers? hm, not so much. why is working hour one more longer in APAC for a same pay without any justifiable reason?

Esplora altre recensioni su Bloomberg

5,0
11 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Svantaggi

Not really cons, culture is great.

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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