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Great place to start career - werkgeversreview Anonieme werknemer bij Bloomberg

3,0

1 sep 2023

Anonieme werknemer

Aanbevelen

Goedkeuring directeur

Zakelijk vooruitzicht

Pluspunten

In the data department, there are many resources to grow your skills in whichever direction you want (SME, tech, etc.) no matter your previous experience/degree. There are collaboration opportunities across departments like Product and Engineering to expand your network and get exposed to other parts of the business/potential career paths.

Minpunten

Return-to-office (RTO) flexibility is needlessly strict. It does not matter who you are, how high of a performer you are, if you are not meeting the 3-day in-office requirement… you are urged to leave. Feels like we are sheep and can’t be trusted to do our work unless in the presence of management, no matter the strain RTO puts on personal lives. No matter what works best for us.

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5,0

25 jun 2026

Software engineer

Aanbevelen

Goedkeuring directeur

Zakelijk vooruitzicht

Pluspunten

great company to work for

Minpunten

I cant think of any ons

4,0

28 jun 2026

Data management professional internship

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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