Who We Are
Verisk Analytics is a leading data analytics provider serving customers in:
- insurance
- energy and specialized markets
- financial services
We’ve been delivering data, analytics, and decision support services to our customers for nearly 50 years.
We're a socially responsible global company operating in 30 countries around the world. Our industry-leading brands include ISO, Xactware, AIR Worldwide, Argus, and Wood Mackenzie.
Verisk Analytics is a member of Standard & Poor’s S&P 500® Index and part of the Nasdaq-100 Index. In 2018, Forbes magazine named Verisk Analytics to its World's Best Employers list and its Best Employers for Women list. Verisk also received the Great Place to Work® Certification for its outstanding workplace culture for the third consecutive year.
Our Corporate Brochure
What We Do
Using advanced technologies to collect and analyze billions of records, Verisk Analytics draws on unique data assets and deep domain expertise to provide first-to-market innovations that are integrated into customer workflows. We offer predictive analytics and decision support solutions to customers in rating, underwriting, claims, catastrophe and weather risk, global risk analytics, natural resources intelligence, economic forecasting, and many other fields.
We help customers make better decisions about risk, investments, and operations with greater precision, efficiency, and discipline. In the United States and around the world, Verisk Analytics helps customers protect people, property, and financial assets.
Our People
We employ more than 8,200 people worldwide to create value for our customers and help them remain competitive. Our highly credentialed team with advanced degrees and professional certifications are specialists in:
- Actuarial Science
- Chemistry and Physics
- Commercial Banking and Finance
- Commodity Analytics
- Data Science and Artificial Intelligence
- Economics
- Engineering
- GIS Mapping
- Meteorology
- Natural Resources
- Predictive Analytics
- Supply Chain
Corporate Social Responsibility
