Geospatial Data Engineer Jobs in Boston, MA (NOW HIRING)

As a Sr. Analyst dedicated to the Nexus project, you will be responsible for the quality assurance of Nexus - an internal tool that is transforming the way we conduct early model testing. You will validate Nexus functionality end-to-end, ensuring the platform delivers accurate, reliable, and reproducible results across catastrophe model workflows. Working at the intersection of cutting-edge science, finance, and modern software engineering, you will build deep expertise in both the Nexus platform and the early-stage model testing processes it enables. If you care passionately about quality and thrive on shipping robust tooling that internal teams depend on, this role offers an excellent opportunity for professional and technical growth.

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. 

Our Culture: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition: See why Verisk is consistently recognized as a Great Place to Work around the world.

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Careers at Verisk: Join a global team of problem-solvers and innovators doing meaningful work that's shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture

Let's build something meaningful together!

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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• Bachelor's degree or higher in Engineering, Science, Mathematics, or Computer Science from a reputable institution.
• 6-8 years of relevant experience in QA or analytical roles within a computational analytics or software company, with preference for candidates who have tested internal tooling or platform products.
• Thorough understanding of and hands-on experience with relational databases such as MS SQL Server, with the ability to mentor and train others.
• Experience in analyzing and manipulating large datasets.
• Working knowledge of Python or R for data analysis, along with good working knowledge of Microsoft Excel.
  Nice to have: Experience processing geospatial data using QGIS, ArcGIS, or similar tools.
• Ability to identify patterns, make thorough observations from numerical datasets, and derive meaningful mathematical relationships.
• Nice to have: Experience validating numerical or probabilistic models in engineering, science, catastrophe modeling, finance, or actuarial science.
• Programming skills including numerical, scientific, and database programming.
• Proven analytical, quantitative, and problem-solving abilities.
• Excellent attention to detail and experience working within distributed and global teams comprising diverse cultural backgrounds.
• Superior verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams that are talented, culturally diverse, global, and possess varying levels of technical expertise.
• Hands-on experience with Cypress for end-to-end UI test automation, including writing, maintaining, and executing Cypress test suites within CI environments; working proficiency in JavaScript or TypeScript.
• Knowledge of product development lifecycles, CI/CD pipelines, and Agile sprint workflows, with an understanding of QA's critical role in early-stage model testing and internal tool delivery.
• Logical and clear thinker with a track record of making sound, process-driven decisions.