GREAT place to start, but you top out quickly if you're highly rated - werkgeversreview Sales Team Leader bij Bloomberg

4,0
29 jun 2016
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

Great work environment, learn a LOT about the markets, great culture and fellow employees

Minpunten

No commissions, you hit a ceiling at a certain point, market completely oversaturated with the product so really not many firms left to sell too. Completely dysfunctional sales operations where you're constantly tasked with creating reports that should be easily generated out of the CRM

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5,0
8 jul 2026
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

good pay, great team, lots of experience gained

Minpunten

mundane tasks sometimes, can be competitive

4,0
28 jun 2026
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

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.

Minpunten

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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