Decent Financial Institution to work for - Quantitative Analyst Bloomberg Employee Review

2.0
Apr 17, 2023
Recommend
CEO approval
Business outlook

Pros

- Pretty much every financial company is a client; - Excellent technological understanding within the firm; - Pays a very good fixed salary and overall a good compensation, mostly because it takes time to train personnel on the terminal and therefore the cost of replacement is very high; - Job security: I have seen many bottom performers stay on the same jobs for years; people who leave do so because of the frustration of seeing others grow while they stay flat, there are almost no performance-based redundancies;

Cons

- Very political, Bloomberg has very clearly chosen to support one American party, and follows all of its guidelines; very difficult to progress in the organisation if you don't tick the right boxes, regardless of merit; - Micromanagement: especially for non-sales jobs there is a big focus on process as opposed to result, partially because they struggle to find KPIs; - Little financial understanding within the firm; - There are still many people who have been at Bloomberg for 10-20 years and manage small teams; again, difficult to progress; - The company is trying to get everyone back in the office 5/5.

Explore other reviews about Bloomberg

5.0
May 6, 2026
Recommend
CEO approval
Business outlook

Pros

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

Cons

The data department has very limited growth opportunities

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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