Job Description

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.

Responsibilities

Read Nexus requirement documents and understand the scope of platform feature updates, early model testing enhancements, and identify the scope of QA testing for each Nexus release.
Build a working understanding of catastrophe modeling concepts (e.g., earthquake, cyclone, flood) and the stochastic modeling approach used in Nexus — on-the-job learning is supported; prior cat-modeling experience is a plus but not required.
Prepare and approve detailed test plans for Nexus features and early model testing workflows, ensuring full coverage of platform functionality, data integrity, and model output accuracy.
Timely execution of Nexus test plans aligned with the project's release cadence and sprint delivery schedules.
Validate that Nexus produces consistent and accurate early model testing outputs across environments, comparing results against legacy workflows and expected benchmarks.
Perform statistical and mathematical analytics on model outputs.
Perform explicit and implicit validation of the scientific and financial algorithms implemented in Nexus to ensure outputs meet requirements for accuracy and reasonability.
Define test coverage criteria for each feature and confirm all in-scope scenarios are exercised before release.
Train and guide newcomers to help them ramp up the learning curve quickly.
Present developed test plans and test results to peer groups.
Estimate project timelines and effort.
Track requirement updates and estimate their impact on project testing and timelines.
Collaborate with the Nexus development team and product owners to triage, prioritize, and drive timely resolution of defects.
Author and present technical reports/documents detailing analytical work and complex procedures.
Prepare technical model studies and conduct internal training sessions on those topics for the team.
Peer review the work of other analysts.
Design and build end-to-end test automation for Nexus's web UI and early model testing pipelines using Cypress (JavaScript/TypeScript), and maintain the framework as the platform evolves.
Take ownership of complete processes from end to end.
Provide regular QA status updates to Nexus product owners and stakeholders, enabling transparency and informed decision-making on release readiness.
Implement and expand automated testing practices throughout the Nexus development lifecycle.
Collaborate with peer teams to facilitate the timely completion of projects.
Demonstrate the ability to multitask across concurrent Nexus workstreams, including feature testing, regression testing, and early model validation.
Develop deep expertise in the Nexus platform, its architecture, and its integration points with existing systems such as Touchstone, while staying current with newly adopted technologies.

Qualifications

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.

About Us

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.

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Senior Model Validation Analyst II(Python/R)