Needs Organization - Recensione dipendente - Campus Representative, University Sales presso Bloomberg

3,0
10 mar 2014
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

My manager was a great guy to work with, very helpful, professional, very much enjoyed working with him. Being that I worked remotely, I did not interface with too many people from the company, only a few. But those that I did were very helpful, very friendly, and very professional. I definitely enjoyed that aspect of the job.

Svantaggi

Hard to reach superiors sometimes, communication could be poor sometimes. Payment was slow arriving. I worked part time and worked remotely, so my experiences might differ from others. However just in the University Sales department (where I worked) I feel that they needed a bit more organization and also could use some additional managers. I felt my manager was many times almost too busy to really devote full attention to situations that would come up.

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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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