More jobs:
Senior Core QA Associate II
Job in
Boston, Suffolk County, Massachusetts, 02297, USA
Listed on 2026-10-18
Listing for:
Verisk Analytics
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
Software Testing
Job Description & How to Apply Below
Data Science and Business Intelligence
Location:
Boston, MA, United States Workplace:
Hybrid
Schedule:
Full time Posted:
Short Term Incentive:
Yes Long Term Incentive:
No
Commission:
No
Work Arrangement:
Hybrid Budgeted Salary Currency: USDMinimum Salary: 120,000
Maximum Salary: 130,000
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
Help shape the quality of advanced risk analytics used to make high-stakes decisions. As a Senior Core QA Associate II on Verisk’s Catastrophe and Risk Solutions (CRS) team, you will focus on the Casualty Catastrophe Model—validating complex scientific and financial models while strengthening the testing frameworks and automation pipelines behind our Liability Risk analytics platform.
This is an opportunity to combine quantitative problem-solving, hands-on software testing, and cross-functional partnership to deliver products that clients can trust for accuracy, reliability, and performance. You will take on complex, often unstructured challenges, translate insights into stronger quality practices, and help advance scalable testing capabilities across the product lifecycle.
Qualifications Candidates must have a Bachelor’s degree in STEM related areas (data science, engineering, science, mathematics, finance, economics), with 5-7 years related work experience A natural problem-solver with a strong desire to understand how the product works and is used by the clients, including edge cases and underlying assumptions.
Significant experience in developing or testing cloud-native UI and API products (REST/gRPC), web applications, and cloud-testing environments.
A strong knowledge of QA methodologies, with demonstrated experience in building test strategies.
A passion for driving efficiency and advocating for continuous process improvements. Familiarity with test automation frameworks such as Cypress and Playwright, along with tools such as Git Hub, Bitbucket, and Azure Dev Ops, and data formats including HTML, JSON, XML, and YAML. Exposure to cloud infrastructure and the AWS ecosystem.
#LI-BH1
Responsibilities Design and maintain comprehensive quality assurance test suites for Verisk Casualty Catastrophe Model.
Collaborate closely with product managers, software engineers, and customer success analysts to understand end‑to‑end user workflows, use cases, and feature requirements to translate them into effective test strategies.
Create and maintain test strategies, test plans, and detailed test cases, covering functional, integration, regression, and end‑to‑end testing.
Partner with developers to design and implement automated test scripts and maintain automation frameworks.
Execute manual and automated testing, with a strong focus on REST API testing, system-level testing, and complex data-driven workflows
You will ensure that products meet exacting requirements for accuracy and explicit and/or implicit validation of algorithms and document analytical work on Python's Jupyter noteboook or in R Markdown You will participate in cross-functional Agile Scrum teams while delivering concurrent day-to-day tasks and use automated testing practices throughout the software development life cycle.
Position requires a deep commitment to quality assurance that leverages the best practices already in place and help to enhance them.
Engage with stakeholders as needed to clarify requirements, assumptions, and quality expectations throughout the development lifecycle.
About the company
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients…
Position Requirements
10+ Years
work experience
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