Avoid working here, poor management, job is not what described - BNEF Analyst Bloomberg Employee Review

1.0
24 Aug 2024
Recommend
CEO approval
Business outlook

Pros

Cannot think of any right now. Maybe the pantry snacks and proximity to BI to learn from. BNEF sits near BI. The ability to put Bloomberg on the resume.

Cons

Management are a joke. The entire company is a joke. BNEF as a whole is just a joke. Our product isn't good. Our CEO Jon Moore is extremely... unintelligent. The managers who have been there for a while, genuinely believe they are God. They have convinced themselves they are truly changing the world and helping climate change - they are not. I am currently there, and over 10+ analysts/associates I have spoken to, are applying for other roles and trying to get out because they hate it. Scrap BNEF. Scrap everything about it. Salaries are also hilarious. Someone with 5+ years of experience in the UK office is paid the equivalent of $68,000. The US office is slightly better, where salaries are around $85,000 if you are lucky.

Explore other reviews about Bloomberg

5.0
11 Jun 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 Jun 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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