Great idea to work for, ended in nothing - Recensione dipendente - Campus Ambassador presso Bloomberg

2,0
24 gen 2016
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

The idea we worked for was the main motivator. As they say, get a good project and the rest is irrelevant. The company started off with a great idea to revolutionize the intern and entry-level job market. By connecting employers and students through a test platform it was possible for students to show off their skills and get an interesting job. Moreover, it aimed to level the playing field for students from less known campuses around the world.

Svantaggi

In general lack of a vision and managerial skills. The representatives engaged with team leaders and ambassadors very scarcely and the process was pretty amateurish. In the end the programme did not live up to management's expectations and thus was discontinued.

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5,0
22 apr 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great culture, benefits, pay, and work-life balance

Svantaggi

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

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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