Hiring: Director, General Liability Pricing Analytics - REMOTE Company: Nationwide Location: Columbus, OH Job Posted Time: 2026-09-12 13:46:59 Employment Type: Remote Target Skills & Keywords : Databricks, GitHub, Java, Linear, MATLAB, Machine Learning, Project Management, Python, R, SQL, SageMaker About the job Experience: •Typically, seven or more years of experience in actuarial, statistical, predictive modeling, risk analytics, pricing analytics or a related quantitative discipline. •Typically, 10 or more years of related work experience in a relevant field. •Quantitative judgment: Demonstrated knowledge of building and deploying machine learning and/or statistical models. •Research methods: Knowledge of multiple quantitative research and analysis approaches and their tradeoffs. •Strong project management skills and the ability to handle multiple large projects simultaneously. Required Skills: •Technical and Model Leadership •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. •Business Partnership and Decision Support •Translate underwriting and business needs into clear analytical questions, recommendations and delivery plans. Qualifications: •In-depth knowledge of statistical inference, predictive modeling, model diagnostics, data quality, assumptions and model limitations. •Solid functional 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. •Leadership and Professional Effectiveness •Sound judgment in ambiguous business situations, with the ability to develop practical, well-supported recommendations. •Demonstrated capacity 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. •Graduate or PhD degree in actuarial science, statistics, mathematics, data science, economics, finance, engineering or a related quantitative field; graduate study preferred. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!