Director, General Liability Pricing Analytics - REMOTE

At Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, you’ll have endless opportunities to grow your career in Finance. Our customers are at the center of everything we do, and we’re looking for associates who are passionate about delivering extraordinary care.

About the Role

In this position, you will work at the intersection of predictive analytics, actuarial thinking, and pricing strategy. You will partner closely with teammates and business partners to build, enhance, and refine models that support general liability insurance pricing. As the senior technical leader for General Liability pricing data science and price modeling, you will lead the development, enhancement, and implementation of pricing models and data science solutions that drive profitable growth, competitive market position, and sound underwriting decisions.

This is a hands-on people leadership role with direct reports, combining deep expertise in actuarial, statistical, and predictive modeling with the ability to translate complex analysis into clear recommendations for Actuaries, Underwriting, Product, Claims, Finance, and senior business leaders.

Responsibilities

• 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 governance, validation, explainability, and production readiness standards.
  • 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.
  • 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.
• Delivery and Continuous Improvement
  • 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.
• Talent and Team Leadership
  • 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.

Requirements

• Education and Experience
  • 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.
• Technical Expertise
  • 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.
• Leadership and Professional Effectiveness
  • 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.
• 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.
• 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

The successful candidate will be a technically credible, business-oriented leader who:

• 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.