Are you passionate about software testing, data validation, analytics, and quality engineering? Verisk is hiring a QA Associate II to join its Catastrophe and Risk Solutions (CRS) team in Hyderabad. This is an excellent opportunity for early-career QA professionals looking to work on cutting-edge catastrophe modeling and risk analytics platforms while building expertise in software quality assurance, automation, data analysis, and scientific model validation.
๐ Job Overview
Company: Verisk
Position: QA Associate II
Experience: 1โ3 Years
Job Type: Full-Time Employment
Location: Hyderabad, Telangana, India
Department: Catastrophe and Risk Solutions (CRS)
๐ข About Verisk
Verisk is a leading global data analytics and technology company that helps customers in insurance, finance, energy, and specialized markets make informed decisions. Through advanced analytics, predictive modeling, and technology-driven solutions, Verisk enables organizations to manage risk more effectively. The Catastrophe and Risk Solutions division develops sophisticated catastrophe models that help businesses understand and prepare for potential risks, making quality assurance a critical component of product success.
๐ฏ Key Responsibilities
- Execute manual and automated test cases for the Casualty Catastrophe Model and related analytics platforms.
- Validate model outputs, data files, and workflows against expected results.
- Support functional, integration, regression, and end-to-end testing activities.
- Test REST APIs, system workflows, and data-driven processes using predefined scripts and tools.
- Document test results, defects, observations, and validation outcomes accurately.
- Collaborate with QA analysts, software engineers, and product managers to understand requirements and user workflows.
- Participate in Agile Scrum ceremonies including sprint planning, stand-ups, reviews, and retrospectives.
- Maintain and support existing test automation scripts and frameworks.
- Follow software quality assurance best practices throughout the SDLC.
- Validate algorithm accuracy and consistency through structured testing approaches.
- Document validation findings using Python Jupyter Notebooks or R Markdown.
- Analyze data patterns and identify anomalies requiring further investigation.
- Assist in ensuring product reliability, accuracy, and overall software quality.
๐ง Required Skills
- Manual Testing
- Functional Testing
- Integration Testing
- Regression Testing
- End-to-End Testing
- API Testing
- REST API Validation
- Defect Tracking and Reporting
- Data Validation
- Quality Assurance Methodologies
- SDLC Knowledge
- Agile Scrum Practices
- Analytical Testing
- Software Quality Engineering
- Documentation Skills
- Root Cause Analysis
- Test Case Execution
๐ป Technical Skills
- Python Basics
- R Programming Basics
- Jupyter Notebooks
- R Markdown
- Test Automation Fundamentals
- SaaS Application Testing
- Cloud-Based Application Testing
- Data Analysis and Validation
- Automation Script Maintenance
- Data-Driven Testing
โญ Good to Have Skills
- Catastrophe Modeling Knowledge
- Insurance Analytics
- Financial Risk Modeling
- Advanced Python Programming
- Test Automation Frameworks
- Statistical Analysis
- Risk Assessment Platforms
- Cloud Technologies
๐ผ What You’ll Be Doing
As a QA Associate II, you will play a key role in validating complex catastrophe and risk models used by organizations worldwide. You’ll execute structured testing activities, validate model outputs, analyze data accuracy, support automation initiatives, and collaborate with cross-functional teams to ensure high-quality software releases. This role offers a unique opportunity to combine quality assurance, data analysis, and risk modeling in a highly specialized domain.
๐ Qualifications
- Bachelor’s degree in a STEM-related field such as Engineering, Mathematics, Statistics, Computer Science, Finance, or Economics.
- 1โ3 years of experience in Quality Assurance, Data Validation, Analytical Testing, or related roles.
- Internship or co-op experience may be considered.
- Basic understanding of software testing principles and QA methodologies.
- Familiarity with Python or R for data validation and analysis.
- Exposure to SaaS and cloud-based applications.
- Introductory experience with automation tools or scripting.
- Strong attention to detail and analytical thinking.
๐จโ๐ป Ideal Candidate Profile
- Passionate about software quality and analytical problem-solving.
- Strong attention to detail and data accuracy.
- Interested in data science, risk analytics, and testing.
- Comfortable working with structured testing methodologies.
- Effective communicator with strong collaboration skills.
- Eager to learn automation and advanced QA practices.
- Curious about catastrophe modeling and insurance technology.
๐ Career Benefits
Joining Verisk offers a unique opportunity to combine software testing with analytics and risk modeling. You’ll gain exposure to cutting-edge technologies, large-scale analytical platforms, and specialized domains that are highly valued across the industry. The role provides an excellent foundation for career growth in Quality Engineering, Automation Testing, Data Validation, Risk Analytics, and Software Quality Assurance.
๐ฉ How to Apply
Ready to take the next step in your career?
๐ Application Link: Click Here
๐ค Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Verisk and request a referralโit can significantly enhance your visibility in the hiring process.
๐ฏ Final Thoughts
The QA Associate II position at Verisk is an excellent opportunity for early-career professionals looking to grow in software testing, analytics, and quality engineering. If you have experience in QA, data validation, API testing, or automation fundamentals and want to work on innovative risk modeling solutions, this role provides the perfect platform to build your expertise while contributing to products that help organizations make smarter decisions.
