Jobs at Verisk

Positions 298,018

Verisk is a leading analytics and risk intelligence firm that powers decision‑making for insurers, banks, and governments. Their tech stack centers on cloud‑native data platforms, AI‑driven insights, and real‑time analytics that help clients predict and mitigate risk.

Verisk’s hiring pipeline spans data scientists, software engineers, cloud architects, cybersecurity analysts, and product managers. Candidates encounter problem‑solving case studies, algorithm challenges, and domain‑specific questions that test both coding and analytical thinking.

By browsing Verisk listings on Job Transparency, you instantly see median salaries, pay ranges, and employee sentiment scores. This information equips you to benchmark compensation, spot growth opportunities, and negotiate from an informed position.

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Frequently Asked Questions

What is it like to work at Verisk?
Verisk offers a data‑centric culture with a focus on innovation, collaboration, and continuous learning. Many roles are hybrid, allowing remote work three days a week, and employees enjoy comprehensive health benefits, a generous 401(k) match, and access to on‑site wellness programs. Team meetings emphasize cross‑functional collaboration, and leadership encourages knowledge sharing through internal tech talks and hackathons.
What types of positions are available at Verisk?
Verisk hires across a spectrum of tech roles: senior data scientists, machine learning engineers, cloud infrastructure architects, DevOps specialists, cybersecurity analysts, front‑end and back‑end developers, data engineers, product managers, and QA automation engineers. Each role supports the core mission of delivering actionable risk insights to clients worldwide.
How can I stand out as an applicant at Verisk?
Tailor your resume to highlight data‑driven projects, quantify outcomes, and demonstrate proficiency in Python, SQL, and cloud services like AWS or Azure. Prepare for technical interviews by solving algorithmic problems on platforms such as LeetCode and reviewing case studies related to risk modeling. Showcase any experience with large‑scale data pipelines, predictive analytics, or domain knowledge in insurance or finance. Finally, engage with Verisk’s community by contributing to open‑source projects or sharing insights on LinkedIn to demonstrate passion for analytics and problem solving.

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