Director, General Liability Pricing Analytics - REMOTE

Role

Director, General Liability Pricing Analytics

• Set technical direction for General Liability pricing strategy, segmentation, rating analysis, portfolio insights and model delivery.
• Lead the research, development, implementation and monitoring of advanced statistical, actuarial, predictive and risk models.
• Explore and pilot emerging AI tools and advanced statistical methods to improve General Liability price modeling and analytical workflows, while maintaining appropriate standards for governance, validation, explainability and production readiness.
• Evaluate data, assumptions, methodologies and model outputs; identify limitations or unreasonable results and recommend corrective actions.
• Own model governance standards covering validation, documentation, reproducibility, implementation readiness and business continuity.
• Translate underwriting and business needs into clear analytical questions, recommendations and delivery plans.
• Partner with Actuaries, Underwriting, Product, Claims, Finance, Data, Analytics, and Technology teams to ensure analytical solutions are understood and applied effectively.
• Convert complex findings into concise recommendations and decision materials for technical, non-technical and senior leadership audiences.
• Advise on products, data needs, rating approaches, implementation implications and opportunities to improve profitability and underwriting decisions.
• Lead complex projects, cross-functional reviews and working sessions that align stakeholders around priorities, tradeoffs and actions.
• Manage scope, timelines, resources and delivery quality across assigned work.
• Identify opportunities to improve data quality, analytical processes, technology enablement and model delivery practices.
• Represent Nationwide in governance forums and with auditors, regulators, vendors or industry groups, as appropriate.
• Coach and develop analytical talent through technical guidance, peer review, training, career development and feedback.
• Lead the day-to-day people management of direct reports, including hiring, performance management, talent planning, resource alignment and career development.
• Perform other responsibilities as assigned.

• Seven or more years of experience in actuarial, statistical, predictive modeling, risk analytics, pricing analytics or a related quantitative discipline.
• Experience leading complex projects, setting analytical direction and delivering results across business functions.
• Graduate or PhD degree in actuarial science, statistics, mathematics, data science, economics, finance, engineering or a related quantitative field; graduate study preferred.
• Experience developing, validating, implementing or monitoring complex models used to support business decisions.
• Strong understanding of statistical inference, predictive modeling, model diagnostics, data quality, assumptions and model limitations.
• Working knowledge of commercial property and casualty insurance;
  General Liability pricing, underwriting or portfolio experience strongly preferred.
• Proficiency in Python and Git Hub-based version control, along with experience using cloud-based analytics, model development, or deployment platforms such as Databricks, Sage Maker, or comparable tools.
• Demonstrated experience taking a model from development through production deployment, testing, documentation, monitoring, and post-deployment validation.
• Sound judgment in ambiguous business situations, with the ability to develop practical, well-supported recommendations.
• Ability to communicate sophisticated technical concepts in clear business language and influence technical and non-technical partners.
• Demonstrated commitment to Nationwide Values and Guiding Behaviors.

• Associate or Fellow of the Casualty Actuarial Society, or meaningful progress toward an actuarial designation.
• Experience with commercial insurance pricing, loss-cost analysis, frequency and severity modeling, segmentation, indication analysis, rate implementation or portfolio monitoring.
• Advanced Modeling and Governance Experience applying machine learning, generalized linear models, credibility methods, stochastic techniques or other advanced quantitative methods to insurance problems.
• Experience with model governance, peer review, independent validation, regulatory support or audit response.
• Business Impact and People Leadership Experience translating model output into underwriting actions, pricing recommendations and measurable business…