QA Analyst II

Job Category Data Science and Business Intelligence Posting Date 04/16/2026, 01:11 PM Job Schedule Full time Locations Lafayette City Center, Boston, MA, 02111, US (Hybrid) STI Yes LTI No Commission No Work Arrangement Hybrid Budgeted Salary Currency USD Minimum Salary 90,000 Maximum Salary 100,000 Division Catastrophe and Risk Solutions Legal Employer AIR Worldwide Corporation Disclaimer Annualized base pay may vary depending on geographic location, job‑related knowledge, skills, and experience Job Description At Verisk , we help the world see new possibilities and inspire change for better tomorrows. Our analytics bridge data, science, and technology to help businesses and communities become stronger, more resilient, and more sustainable. Within Verisk Catastrophic Risk Solutions (CRS) , we build advanced stochastic models that simulate complex catastrophic events—such as hurricanes, earthquakes, and floods —and run large‑scale Monte Carlo simulations spanning hundreds of thousands of simulated years. These insights empower the insurance industry to make objective, data‑driven decisions about risk. If you’re motivated by purpose, scale, and technically meaningful work—you’ll feel right at home here. We’re hiring a Core QA Associate II to support the quality and integrity of our cloud‑based SaaS solutions . This role is ideal for someone who enjoys a mix of quality engineering, automation, analytics, and cloud technologies , and who wants to work closely with developers in an Agile environment. Responsibilities What You’ll Do As a Core QA Associate II, you will: Ensure products meet strict accuracy requirements through explicit and implicit validation of scientific and financial algorithms Partner closely with developers to define test strategies and ensure full product test coverage Design, write, and maintain unit and integration tests using C# and Python , optimized for execution in AWS/cloud environments Build API‑based automated tests that validate core system functionality and determine pass/fail outcomes programmatically Contribute all testing to a fully automated testing framework Participate as an active member of cross‑functional Agile Scrum teams , handling concurrent workstreams Apply a quantitative and analytical mindset to solve complex problems and support strategic initiatives Bring a methodical, detail‑oriented approach to problem solving and quality execution Qualifications What We’re Looking For We’re focused on strong fundamentals, curiosity, and the ability to grow. Ideal candidates will bring: A Bachelor’s or Master’s degree in a STEM discipline (e.g., engineering, data science, mathematics, science, finance/economics) 2+ years of QA experience in an Agile software development environment Experience developing or testing cloud‑native SaaS products , web applications, or serverless architectures Hands‑on experience with object‑oriented programming (C++, C#, Java); Python experience strongly preferred Exposure to analytical programming and data tools (Python, R, SQL, Pandas, data frames; R/MATLAB a plus) Familiarity with API testing (Postman) and end‑to‑end testing tools (e.g., Cypress) Strong quantitative thinking, analytical reasoning, and attention to detail The ability to collaborate effectively with cross‑functional teams and communicate clearly Experience with relational databases and working knowledge of on‑prem or cloud‑based database systems Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location. 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. #J-18808-Ljbffr Verisk Analytics