Good benefits, despite of salary - werkgeversreview Financial Sales and Analytics bij Bloomberg

3,0
23 nov 2016
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

Continuous training, opportunity to travel, good HR benefits, volunteering program, most of the time you can leave the office on time, pantry

Minpunten

For the analytics team, the biggest con is micromanagement. Most of the time you can´t leave your desk while working, working hours are very controlled, you cannot be a minute late. Managers do not accept opinions from the employees. Managers do not have a strong background in financial markets.

Ontdek andere reviews over Bloomberg

5,0
30 jun 2026
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

Great compensation, work life balance

Minpunten

4 days a week on site

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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