Avoid if you can - Recensione dipendente - Program Manager presso Bloomberg

1,0
2 apr 2025
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

1. Good health Insurance 2. Breakfast and snacks at pantry

Svantaggi

1. Micromanaging managers who have no idea of the industry 2. Non existent HR 3. Too many pointless meetings with no outcomes. Little innovation to keep up with fast moving Technology Industry. 4. Office politics, pointless meet and greets just to keep up appearances. 5. No work life balance in Asia. 8am-6pm is real, with no flexibility for out of hours meetings.

Esplora altre recensioni su Bloomberg

5,0
6 mag 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great place to work if you are looking for work life balance

Svantaggi

The data department has very limited growth opportunities

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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