Terrible work environment, pay increases are far less than the rest of the company - Recensione dipendente - Equity Research Analyst presso Bloomberg

1,0
4 giu 2017
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Good benefits such as health etc..

Svantaggi

The moral and work environment in this department is at an all time low. For such a company that tries to promote transparency the whole time, this department does the complete opposite. Management does not look after existing employees and shows this every year with minimum pay increases, instead using the money to pay ludicrous wages for people they pull in from the street who end up writing garbage. Management has turned what could be a great research department into a hamster wheel. The same nonsense is regurgitated on a regular basis and takes away from what could be insightful ideas generated. More and more people continue to leave the department and are fed up with how it is being run into the ground.

Esplora altre recensioni su Bloomberg

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

Vantaggi

Good management + good people + work life balance

Svantaggi

NA - can be stressful

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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