Catastrophe Risk Analytics Researcher; ML & GIS

Purpose

We need a candidate who can apply machine learning and statistical techniques to catastrophe risk modeling.

This role will support research and development of predictive models using large weather datasets, geospatial information, and insurance exposure/loss data. Additionally, the role will contribute to building hybrid modeling approaches that combine stochastic catastrophe models with machine learning/statistical methods to improve accuracy.

• Strong programming in R and/or for data science workflows.
• Experience with machine learning algorithms such as Random Forests, Regression models (linear, logistic, etc.), Mixed‑effects modeling for hierarchical data structures.
• Ability to work with large‑scale datasets, including climate/weather and insurance data.
• Geospatial data analysis experience (e.g., GIS tools, spatial joins, raster/vector data).
• Solid understanding of relational databases (SQL).
• Knowledge of statistical modeling and predictive analytics.
• Familiarity with catastrophe modeling platforms (Verisk, RMS) is highly desirable.

• Master’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• Demonstrated ability to conduct independent research and publish findings.
• Exposure to insurance or financial risk modeling is desirable.

• Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.
• Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.
• Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.
• Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
• Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.
• Crafts and updates model documentation for business continuity purposes.
• Collaborates to develop creative solutions to business problems.
• Acts as the technology owner for Risk Analytics.

Reports to Risk/Actuarial leader.

Internal Compensation Grade: G5. National salary range for Consultant, Risk Analytics Researcher: $–$.

Medical/dental/vision, life insurance, short and long term disability coverage, paid time off, 401(k) with company match, company‑paid pension plan, business casual attire, and more.

Nationwide is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic protected by applicable law.