Develop and enhance casualty catastrophe models and analytics addressing systemic and emerging liability risks
Conduct statistical, mathematical, and data‑driven proof‑of‑concept analyses to inform model design and validation
Translate research prototypes into scalable model components for production use
Partner closely with product and software teams to implement model methodology into Verisk workflows
Build and maintain model development pipelines using Python, SQL, Git, and AWS
Analyze data from multiple sources to support model parameterization, testing, and improvement
Perform validation, sensitivity testing, and robustness analyses
Contribute to clear technical documentation outlining assumptions, methodology, and limitations
Support client inquiries by explaining model behavior and results in a practical, accessible way
Communicate technical findings to both technical and non‑technical audiences
Stay current on advances in data science, modeling, and insurance analytics

Requirements

A Bachelor's or Master’s degree in a quantitative field (e.g., statistics, mathematics, data science, actuarial science, economics, engineering, computer science)
Professional experience in data science, statistical modeling, risk modeling, or a related field
Strong programming skills in Python, plus experience with R and SQL
Familiarity with Git‑based development workflows
Experience using AWS or cloud‑based analytics environments
The ability to take models from concept to implementation
Strong analytical thinking, curiosity, and comfort working on complex, open‑ended problems
Clear written and verbal communication skills, including explaining technical ideas to non‑technical audiences
Strong organization, documentation, and collaboration skills

Benefits

Health Insurance
Retirement Plan
Disability benefits
Paid Time Off program
Competitive total rewards package

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical modelingmathematical modelingdata-driven analysismodel validationsensitivity testingrobustness analysisprogramming in Pythonprogramming in RSQLmodel parameterization

Soft Skills

analytical thinkingcuriositycommunication skillsorganization skillsdocumentation skillscollaboration skills