QA Associate II

The Core QA Associate II (CQA II) is an early-career Quality Assurance professional within Verisk’s Catastrophe and Risk Solutions (CRS) organization. In this role, you will work on Verisk’s Casualty Catastrophe Model. This role supports the testing and validation of complex scientific and financial models, with a primary focus on executing structured test cases, validating model outputs, and ensuring product quality under guidance from senior QA team members.

The CQA II role emphasizes skill development, learning the domain, and gaining hands-on experience with analytical testing, data validation, and quality practices in a collaborative environment.

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle.  We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. 

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Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

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• Execute manual and automated test cases for the Casualty Catastrophe Model and related analytics platforms, following established test plans and strategies. 
• Perform structured validation of model outputs, data files, and workflows, comparing results against documented expected behavior. 
• Assist with functional, integration, regression, and end-to-end testing under guidance from Senior CQA team members. 
• Support testing of REST APIs, system-level workflows, and data-driven processes using predefined scripts and tools. 
• Document test results, defects, and observations clearly, ensuring accurate and reproducible reporting. 
• Collaborate with senior QA analysts, software engineers, and product managers to understand feature requirements and user workflows. 
• Participate in Agile Scrum ceremonies, including daily stand-ups, sprint planning, and retrospectives. 
• Contribute to maintaining existing test automation scripts and frameworks with supervision. 
• Follow quality assurance best practices throughout the software development life cycle (SDLC).

• Assist in validating the accuracy and consistency of algorithms through structured, repeatable analysis.

  
  

• Document validation work in Python Jupyter Notebooks or R Markdown, using established templates and guidance.

  
  

• Learn to interpret model behavior and data patterns, escalating anomalies or inconsistencies appropriately.

  
  

• Bachelor’s degree in a STEM-related field (e.g., Engineering, Mathematics, Statistics, Computer Science, Finance, or Economics). 
• 1–3 years of experience in Quality Assurance, data validation, analytical testing, or a related role (internship or co-op experience counts). 
• Basic understanding of software testing principles and QA methodologies. 
• Familiarity with Python or R for basic data analysis and validation tasks. 
• Exposure to cloud-based or SaaS applications. 
• Introductory experience with test automation tools or scripting. 
• Interest in catastrophe modeling, insurance analytics, or financial risk modeling.
• Strong attention to detail and the ability to follow defined test procedures accurately. 
• Good written and verbal communication skills.