Best place to retire - Recensione dipendente - Software Engineer presso Bloomberg

4,0
6 dic 2015
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Competitive salary, one of the best benefits, high 401k matching, health insurance, in-house health center, snacks from pantries, seasonal treats, free soup, smart and nice coworkers, flat hierarchy within the team -- all team members work closely together. One of the most stable jobs you can find to afford your family. Company subsidized team dinner/lunches. Provides dinner at the office if you stay until 8pm. Some groups are using more open source technologies which wasn't the case in the past. Great work-life balance. High internal mobility.

Svantaggi

Not much vision for career advancement other than the raise and compensation. Upper management is pretty much not moving at all. Can notice a lot of politics in the upper management. Very corporate. Very financy atmosphere -- feels uptight overall, so R&D makes an extra effort to make it chill. For the engineers who are actually interested in finance (which isn't the case for many people.. but for these special kind), this is THE place to work at.. otherwise.. just not so much motivating or fun.

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

Vantaggi

great company to work for

Svantaggi

I cant think of any ons

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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