A dynamic and fast place - Financial Software Developer Bloomberg Employee Review

5.0
Apr 25, 2015
Recommend
CEO approval
Business Outlook

Pros

Besides the great benefits (health care, snacks, dinner), Bloomberg is a good place for you to learn and to work. It provides good internal mobility if you want to move to a different group and location. The open environment provide both an opportunity and distractions. The culture encourages team work, helping the customers. Since there is no title, the management generally is more accessible and it is easier to contact someone outside your team. It does have work from home policy, and the application sometimes depends on your team leader.

Cons

Like many other big companies, there is bureaucracy and internal politics. Sometimes, the accountability can be poor. But since Mike's return, it has changed somewhat to breakdown the silos and to get in touch with the customers more. The technology on the IT side is not the most advanced ones, and there are lots of legacies. But there are lots of smart people and lots of new technologies are being used in various places.

Explore other reviews about Bloomberg

5.0
May 6, 2026
Recommend
CEO approval
Business Outlook

Pros

Great place to work if you are looking for work life balance

Cons

The data department has very limited growth opportunities

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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