Only good for a short time - AML Analyst Bloomberg Employee Review

1.0
15 Jan 2024
Recommend
CEO approval
Business outlook

Pros

Stunning building and facilities, free snacks, bottomless soft drinks, Friday afternoon treats. Prestigious name, stands out on CV, opportunities to travel.

Cons

Relentless micromanaging. Mandatory hours are 08:00 to 18:00 ie ten hours a day and very closely monitored. Not participating in the company pro bono initiatives could cost you your bonus. Very low bonuses. Limited to zero opportunities for career advancement. Dictatorial in that office attendance is monitored very closely, with the threat of disciplinary action for non-compliance. Hybrid working is frowned upon; the until recently 2 days wfh were reduced to 1 overnight with zero notice, despite promises it would carry on indefinitely and will be taken away soon to return to full time in office working. Caste like promotion system.

Explore other reviews about Bloomberg

5.0
11 June 2026
Recommend
CEO approval
Business outlook

Pros

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

Cons

Not really cons, culture is great.

4.0
28 June 2026
Recommend
CEO approval
Business outlook

Pros

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.

Cons

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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