The San Francisco Help Desk - Analytics Bloomberg Employee Review

2.0
Oct 22, 2019
Recommend
CEO approval
Business Outlook

Pros

The analytics training program provides employees with an excellent foundation in market concepts. I found their Fixed Income training the best a recent grad can acquire. Additionally, there are excellent exit opportunities from what I've heard from past employees.

Cons

First, let's get the job description straight. If you choose to join the analytics program you will be a customer service representative where you will be "on queue". Quite literally called "The Help Desk" you will be treated as if you work at Comcast and will solve client inqurires (usually 3 at a time). Questions could include but are not limited too: "CALL ME" "My launchpad is broken" "Can you confirm the IPO date 943819 US Equity was on 9/8/2017?" However, it's truly the management that lack of empathy that creates an environment that makes the desk an inky black hole where every molecule of light/joy cannot escape. A few examples include: -Time off has to be asked 120 days in advance no matter the situation during the holidays/summer -No breaks (including the bathroom) are to be given if the queue is busy -Genuine disregard for the emotions, aspirations, and general well being of employees. Ever read 1984?

Explore other reviews about Bloomberg

5.0
Jun 11, 2026
Recommend
CEO approval
Business Outlook

Pros

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

Cons

Not really cons, culture is great.

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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