Not so good - Cheap Labor camp - Compliance Analyst Discover Employee Review

1.0
3 Dec 2012
Recommend
CEO approval
Business outlook

Pros

Nice Gym, Decent Benefits, good location to public transportation

Cons

DFS version of Diversity = Majority of workers are Temporary Chinese, Indian, Eastern European! Minority of Workers are Anglo-American, African- American, Asian-American, Hispanic American, Arab American. I am all for diversity but this form of diversity breeds a culture of identured servitude. The commnication barriers create major problems as not only is it hard to understand some of the dialects, it is very hard for the Temp workers to understand "normal" english and this creates a lot of time wasted for everyone. This temp - cheap worker strategy ends up being "penny wise-pound foolish strategy, Discover has made a big comeback but they should remeber who there customers are and hire accordingly.

Explore other reviews about Discover

5.0
28 Mar 2026
Recommend
CEO approval
Business outlook

Pros

One of the most significant advantages of interning at Discover is the opportunity to work with massive, high-stakes financial datasets within a highly collaborative and mentorship-driven culture. Because the company manages millions of consumer accounts, you gain direct experience in how data-driven decisions impact risk management, credit modeling, and fraud detection in real time. The environment is known for being supportive of early-career professionals, offering structured learning paths and exposure to modern cloud-native infrastructures like AWS. Furthermore, the company’s strong focus on work-life balance and a clear pipeline for converting interns to full-time roles makes it an excellent "foot in the door" for anyone looking to build a career in fintech.

Cons

On the other hand, the primary drawback often stems from the inherent bureaucracy and heavy regulation of the banking industry, which can lead to slower project lifecycles and "red tape." You may find that a significant portion of your time is spent on repetitive data cleaning and maintaining legacy reporting systems rather than building the cutting-edge predictive models you might expect. Additionally, because Discover is a massive organization, your scope of work can sometimes feel siloed, making it difficult to see the end-to-end impact of your analysis across different departments. Finally, the current landscape of the industry means that internal shifts or large-scale corporate restructuring can occasionally lead to uncertainty regarding team directions or long-term project stability.

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