One of the best tech firms on the east coast - Software Engineer Bloomberg Employee Review

4.0
Jan 24, 2016
Recommend
CEO approval
Business Outlook

Pros

(This review is for R&D) Very good team placement. Recruiters/HR work well to ensure new hires get the teams they desire. Quality of work is good. Very good training sessions and talks by leading experts in C++ etc (read Bjarne Stroustrup, Alex Stepanov etc ) . Encouraged to take part in volunteer activities. Very good training program for university grads. Very good benefits, 100% employer paid health insurance, 401k matching. Teams have started participating in conferences and engaging with the tech community in general.

Cons

It's a pain working with the legacy systems. Slows you down. There's so much more that you could do in a day if this stuff wasn't there. Free snacks in NY office are okay but a meal would be better. Average age is higher than other tech firms, so managers sometimes do have reservations using recent technologies. Not a lot of hiring for the west coast office

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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