Inflated Pay Estimates - Recensione dipendente - Dipendente anonimo presso Bloomberg

3,0
1 apr 2013
Dipendente anonimo
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Company offers fantastic health-care benefits, and as of 2013, still covers the entire cost for most of its employees. All U.S. workers get four weeks of vacation -- great if you're starting out, but there's no real chance to increase that figure. Those who last 10 years are given an extra 3 days, which is the max for the U.S.

Svantaggi

The insurance benefit is still as good as or better than similar companies, but it dwindles every year. In 2013, Bloomberg began charging a premium to workers unless they completed a health assessment. The bonus plan looks attractive, but usually doesn't live up to its billing. Yearly incentive pay is split evenly between targets for company performance and individual performance, and the company hasn't hit its goals a single time since the financial crisis. Makes people wonder if top management is being unrealistic about its targets or just clever.

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5,0
22 apr 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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

Svantaggi

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

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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