Engineering Micromanaging Galore, Minimal Job Satisfaction, Treated poorly - Anonymous employee Bloomberg Employee Review

2.0
Jun 13, 2018
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

People are not competitive Some engineers are bright and experienced

Cons

Job can and most probably will be boring unless you end up in one of the few good teams. Technology and infrastructure is dated. Efforts are made to clear those, but management has only vision, no plan. Managers don't care about you and your career. They micro manage and assign whatever they feel it's important. I have had a manager walk out of a 1 on 1 when I told him I am rather unsatisfied with what I am currently doing and I'd like to improve the situation. You handle a subset of client complaints regardless of whether you are responsible for the product or not. Lateral movement, although advertised is a myth. If you're in a bad position, might as well look for a new job ..

Explore other reviews about Bloomberg

5.0
Jun 11, 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
Jun 28, 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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