[Hiring] Director, General Liability Pricing Analytics @Nationwide

Role Description

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. You will also have the opportunity to work across a variety of projects, expand your technical toolkit, and deepen your understanding of how modeling drives real business outcomes.

As Director, General Liability Pricing Analytics, you will serve 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 support profitable growth, competitive market position and sound underwriting decisions.

This is a hands-on people leadership role with direct reports. You will combine 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. You will guide and develop analytical professionals, including direct reports, lead complex work across functions and help establish consistent standards for model quality, documentation, validation and use.

Qualifications

• Typically, seven or more years of experience in actuarial, statistical, predictive modeling, risk analytics, pricing analytics or a related quantitative discipline.
• Graduate or PhD degree in actuarial science, statistics, mathematics, data science, economics, finance, engineering or a related quantitative field; graduate study preferred.
• Experience leading complex projects, setting analytical direction and delivering results across business functions.

Requirements

• 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.

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.