Excellent company if you prioritize work-life balance - Senior Software Engineer Bloomberg Employee Review

5.0
Mar 15, 2025
Recommend
CEO approval
Business Outlook

Pros

A culture that values innovation, where new ideas are encouraged and recognized. An excellent company choice for those who prioritize work-life balance. Leaders and managers are highly supportive and understanding. They offer opportunities for cross-training and encourage lateral career movement within the organization.

Cons

The tech stack predominantly consists of Bloomberg proprietary tools, private cloud solutions, and open-source technologies. With an emphasis on open-source, teams often need to develop their own code, which can lead to redundant efforts as similar solutions are recreated repeatedly. Additionally, many teams lack clear guidance from leadership on best practices for coding and choosing the most efficient technologies.

Explore other reviews about Bloomberg

5.0
Apr 22, 2026
Recommend
CEO approval
Business Outlook

Pros

Great culture, benefits, pay, and work-life balance

Cons

The technical challenges can be a bit stagnant. You learn to deal with people rather than systems

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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