Are you desperate for work? - Recensione dipendente - Human Resources presso Bloomberg

2,0
8 mag 2017
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Brand...and this is really all they care about..

Svantaggi

Messy structure: So called collaborative but it actually only means inefficiently dragging all parties in a case with overlapping roles. Image is everything: Existing in all companies but particularly prominent in this company. The high flyers are mainly best at talking (not thinking). People making enornous or constant stupid mistakes are still allowed to be converted from contract to perm. Teams that help with "packaging" the company are best staffed while other teams are ill equipped. Poor management: Talent identification has not much issue but making best use of talent after hire is questionable. Wrong timing of internal mobility without thorough manpower planning even within HR is often seen .

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5,0
11 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Svantaggi

Not really cons, culture is great.

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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