Director, General Liability Pricing Analytics - REMOTE

Role Director, General Liability Pricing Analytics Key Responsibilities 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. Required Qualifications 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 GitHub-based version control, along with experience using cloud-based analytics, model development, or deployment platforms such as Databricks, SageMaker, 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. Preferred Qualifications 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 outcomes. Experience directly managing and developing actuaries, data scientists, analytic scientists or pricing professionals. Leadership Profile Brings curiosity, rigor and sound judgment to complex pricing and risk questions. Connects analytical work to underwriting decisions, customer outcomes, profitability and enterprise strategy. Creates clarity when objectives, data or stakeholder perspectives are competing or incomplete. Raises the quality of analytical work through thoughtful challenge, peer review and disciplined documentation. Develops people while maintaining high standards for accountability, collaboration and delivery. Builds durable partnerships and communicates with confidence at all levels of the organization. Job Conditions This role can be staffed fully remote. Benefits Medical/dental/vision, life insurance, short and long term disability coverage. Paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date. Nine paid holidays. 8 hours of Lifetime paid time off. 8 hours of Unity Day paid time off. 401(k) with company match. Company-paid pension plan. Business casual attire. and more. Values 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 (or classification) protected by applicable law. This position could be filled within any of the lower 48 U.S. states. #J-18808-Ljbffr Nationwide