Note: The job is a remote job and is open to candidates in USA. Nationwide is an insurance and financial services company seeking a Director, General Liability Pricing Analytics. The role leads General Liability pricing data science and model development, combining actuarial, statistical, and predictive modeling expertise to support profitable growth and underwriting decisions. The director will manage analytical talent, lead cross-functional projects, and translate complex analysis into business recommendations.
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
- Leads a team that works on a wide array of statistical and machine learning projects across the enterprise
- Collaborates with business partners to build consensus around problems of broad scope and business impact. Guides the research, analysis, implementation and monitoring of modeling methodology to solve those problems
- Upholds a high standard for methodological rigor, sound statistical inference and robust model validation
- Plans and manages the execution of analytic work including defining project scope, schedule, resource requirements and delivery timelines
- Collaborates with multiple departments or business functions to accomplish management goals, objectives and tasks
- Communicates technical work to leadership
- Demonstrates knowledge of a wide array of business practices and business knowledge. Applies knowledge to direct projects that provide creative solutions to complex business problems
- Directs associate management, including performance management, salary planning and administration, training and development, workflow and organizational planning, hiring and placement, and disciplinary actions
- May perform other responsibilities as assigned
Skills
- * Typically, 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
- * 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
- * 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
- Experience building and deploying machine learning and/or statistical models or executing quantitative research studies may be considered in lieu of formal education
- Typically, 10 or more years of related work experience in a relevant field
- Demonstrated knowledge of building and deploying machine learning and/or statistical models
- Knowledge of multiple quantitative research and analysis approaches and their tradeoffs
- Strong project management skills and the ability to handle multiple large projects simultaneously
- Advanced written and verbal communication skills. Ability to communicate technical concepts to all levels of leaders and associates
- Drives decisions, projects, and processes without formal authority. Works directly with a variety of people to create broad acceptance for proposed innovations and changes
- Able to handle large and complex engagements focused on broader business activities
- Ability to lead key relationships and act independently
- Programming ability: Python, R, SQL, or any other transferrable language (MATLAB, Java, etc.)
- * General Liability pricing, underwriting or portfolio experience strongly preferred
- * Graduate or PhD degree in actuarial science, statistics, mathematics, data science, economics, finance, engineering or a related quantitative field; graduate study preferred
- * 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
- **Education:** Preferred undergraduate or graduate studies in statistics, engineering, math, quantitative social science fields, or related areas
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
Company Overview
Company H1B Sponsorship