Way cooler than you might think - Mitarbeiter (anonym) bei FICO: Mitarbeiterbewertung

5,0
16. Mai 2014
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

True pioneer and current leader in the "big data" and data science space. Combines the financial strength of a mature, well-established business with an energy-level and focus on growth that feels start-up-like. Leading edge technology solutions that truly drive decisions at many of the most influencial companies in the world. Large enough (around 2,600 people globally) to provide resources, stability and a wealth of opportunities, and small enough to allow performance contributions to readily stand out. Really smart people working on really important, real-world solutions.

Kontras

It can be a bit complex for a company its size. The nature of the business problems FICO addresses are inherently complicated, and the relevance of its solutions spans virtually every industry. As a result, it can be difficult at times to succinctly define priorities. People who thrive here excel at asking smart questions and staying in-touch with things happening outside of their immediate team.

Mehr Bewertungen zu FICO entdecken

5,0
6. März 2026
Mitarbeiter (anonym)
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CEO-Befürwortung
Geschäftsprognose

Pros

Salary, work life balance, people

Kontras

Nothing much to say, all good

4,0
24. Jan. 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

FICO is a great place to work as a software engineer. I had a very positive experience collaborating with smart, thoughtful teammates on technically interesting problems that have real-world impact at scale. The engineering culture values code quality, thoughtful design, and pragmatic decision-making over hype. Leadership was supportive, expectations were clear, and there was a strong emphasis on ownership and accountability. Overall, it’s an excellent environment for engineers who enjoy working on meaningful systems in a stable, well-run organization.

Kontras

Slower pace of change compared to startups or high-growth tech companies, which can feel restrictive if you prefer rapid experimentation. Legacy systems and tech debt in parts of the organization that require patience and careful refactoring. Process-heavy at times, with multiple reviews or approvals slowing delivery. Less emphasis on cutting-edge frameworks—the focus is more on stability and correctness than chasing the newest tools.

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