This role pays less than
72%
of similar roles. Most pay
$204,843–$278,000
— the shaded band above.
At the midpoint, this role pays about
$206k
versus about
$241k
for comparable roles.
Based on 240 similar postings.
Employer
About Nationwide
Nationwide is a Fortune 100 insurance and financial services company offering auto, home, life, and commercial insurance along with retirement savings, asset management, and banking products. Industry: Insurance & Financial Services
Nationwide currently has
17 open roles
on FindRole.
Listed pay typically runs
$95,500–$177,500
across 17 roles with salary data.
Director, General Liability Pricing Analytics serves as a senior technical leader within the Finance team, overseeing data science and price modeling to support profitable growth and informed underwriting decisions. This hands-on leadership role involves managing direct reports while building, enhancing, and refining models at the intersection of predictive analytics, actuarial thinking, and pricing strategy. The successful candidate will translate complex analytical findings into actionable recommendations for cross-functional partners in Actuarial, Underwriting, Product, Claims, and Finance departments. Key responsibilities include setting technical direction for rating analysis, managing project lifecycles, and ensuring model governance. Required expertise includes statistical inference, predictive modeling, and experience with Python, GitHub, and cloud platforms like Databricks or SageMaker. The role addresses the specific challenge of developing robust pricing models within the commercial property and casualty insurance domain to improve portfolio outcomes.
Lead the development and implementation of advanced statistical and predictive models to support profitable growth and pricing strategy.
Set technical direction for general liability pricing, including segmentation, rating analysis, and portfolio insights.
Translate complex analytical findings into clear recommendations for non-technical stakeholders and senior leadership.
Manage the full model lifecycle, including governance standards, documentation, validation, and production deployment.
Oversee day-to-day people management, including hiring, performance management, and career development for a team of analysts.
Partner with cross-functional teams like Actuarial, Underwriting, and Finance to align analytical solutions with business goals.
Identify and implement improvements for data quality, analytical processes, and technology enablement.
Represent the organization in governance forums with auditors, regulators, and industry groups.
What we're looking for
Typically requires seven or more years of experience in actuarial, statistical, predictive modeling, risk analytics, pricing analytics, or a related quantitative discipline.
Requires a graduate or PhD degree in actuarial science, statistics, mathematics, data science, economics, finance, engineering, or a related field (graduate study preferred).
Experience leading complex projects and setting analytical direction across business functions is required.
Must have experience developing, validating, implementing, or monitoring complex models to support business decisions.
Requires proficiency in Python and GitHub-based version control, with experience using cloud-based platforms like Databricks or SageMaker.
Knowledge of commercial property and casualty insurance is required; General Liability pricing or underwriting experience is preferred.
Associate or Fellow of the Casualty Actuarial Society, or progress toward an actuarial designation, is preferred.
Experience in advanced modeling (machine learning, GLMs, stochastic techniques) and model governance is preferred.