Expected more from Bloomberg (Bloomberg Institute) - Campus Ambassador Bloomberg Employee Review

3.0
Nov 9, 2014
Recommend
CEO approval
Business Outlook

Pros

I am a Campus Ambassador for Bloomberg Institute, and yes I know it is not too much of a prestigious position within the company, I still expected better organization from Bloomberg. - Remote work, a lot of freedom - Everything compensated for - Good company brand

Cons

From my experience, everything has been poorly organized - Long turnaround time for email responses or call backs; Reps are very hard to reach. This is very important if you are working remotely and you have deadlines to meet. - Was told I will be assigned to Team Leaders, whom I can report to, but I never did. - Was promised certain materials, but it took a really long to get them and I still haven't got all of them - Takes a while to get paid and the method of doing so was confusing. Took about 2 months to receive my first pay - Was told I will be the only ambassador on campus, then few weeks later, a few more were hired. Not that this was an personal issue, but it would have been nice to know the correct information so I could have better planned accordingly.

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5.0
Jun 30, 2026
Recommend
CEO approval
Business Outlook

Pros

Great compensation, work life balance

Cons

4 days a week on site

4.0
Jun 28, 2026
Recommend
CEO approval
Business Outlook

Pros

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.

Cons

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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