Ethical, Loyal, Challenging - Recensione dipendente - Senior Software Engineer presso Bloomberg

4,0
2 set 2016
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Takes great care of engineers, doesn't kick older ones to the curb, usually has challenging work to do. Great for ancient-technology spelunkers.

Svantaggi

Used to rush new features out too quickly, leading to decades' worth of weird legacy systems that few understand with no real automated testing. Now focused more on stability, making better choices, but the pace of improvements is slower and overall risk not really balanced out yet. Some problems with managers who did things the old way still in charge but trying to adjust.

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5,0
11 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Svantaggi

Not really cons, culture is great.

4,0
28 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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.

Svantaggi

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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