A company for the long haul - Recensione dipendente - Senior Software Engineer presso Bloomberg

5,0
24 gen 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

A great place to work for folks who want to make a difference (part of the profits goes to Bloomberg Philanthropies). Engineers will find a good WLB with all the flexibility they need and a salary appropriate for the finance industry while keeping a clear conscience due to being a neutral market participant. Engineers enjoy a high degree of autonomy and ownership, as well as recognition (the department is firmly the profit center of the company). Curiosity, experimentation and learning are encouraged.

Svantaggi

For engineers, the yearly performance evaluation is mostly qualitative, with the resulting metrics not being shared with individuals. It is thus hard to compare your performance and compensation to peers around the company (it's not openly discussed), but you do get relatively clear direction from management as to how to improve. There is officially no staff engineer role, but there are recognition+extra responsibility programs (tech reps and champs) and the best engineers can find ways to make an impact anyway. Recognition of those efforts at evaluation probably varies though.

Esplora altre recensioni su Bloomberg

5,0
6 mag 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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

Svantaggi

The data department has very limited growth opportunities

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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