Lead the development and governance of the actuarial analytics platform that supports pricing, reserving, and enterprise actuarial analytics.
Define and evolve the long-term architecture of the actuarial analytics environment to support scalable modeling, automation, and advanced analytical capabilities across the enterprise actuarial function.
Manage actuarial technology platforms and modeling environments, including Python, R, actuarial software, and related analytics tools.
Collaborate with Data Governance teams to align actuarial processes with enterprise data standards and architecture.
Establish governance, documentation, and control standards for actuarial models and analytical production workflows.
Own the production and delivery of management reporting across the enterprise.
Modernize actuarial workflows through automation, standardized tooling, and scalable analytical processes.
Build and maintain scalable actuarial tools, models, and automation frameworks with appropriate documentation and controls.
Design repeatable analytical workflows that improve the efficiency, reliability, and scalability of actuarial processes.
Establish operational standards and best practices that support consistent actuarial analysis and model execution.
Enable the effective use of advanced analytics and predictive modeling within actuarial workflows and business decision-making.
Develop and deploy underwriting, claim, and other functional predictive models and analytical tools into actuarial workflows.
Ensure analytical models are implemented in scalable, controlled production environments.
Partner with pricing, reserving, and analytics teams to operationalize advanced analytical capabilities.
Lead and develop the team responsible for actuarial operations, automation, and analytical infrastructure.
Attract, recruit, lead, retain, and develop a team of actuarial analysts and analytics engineers focused on process automation and actuarial tooling.
Establish priorities and execution plans that align actuarial operational capabilities with organizational needs.
Promote strong collaboration across actuarial, data, and technology teams.
Requirements
FCAS and 10+ years of actuarial experience in property & casualty insurance
Strong technical experience with actuarial processes such as pricing analyses, reserving workflows, or portfolio monitoring
Demonstrated experience leading analytical, actuarial, or technical teams
Experience programming in Python, R, or similar analytical languages
Experience designing or implementing scalable actuarial or analytical production environments
Demonstrated ability to translate actuarial needs into automated, scalable analytical workflows
Experience working with large datasets, data warehouses, or modern analytical data platforms
Experience developing, maintaining, and deploying predictive models or analytics tools into production environments
Experience working with actuarial software platforms and analytical modeling environments
Strong communication and collaboration skills.
Tech Stack
Python
Benefits
Competitive base salary plus incentive plans for eligible team members
401(K) retirement plan that includes a company match of up to 6% of your eligible salary
Free basic life and AD&D, long-term disability and short-term disability insurance
Medical, dental and vision plans to meet your unique healthcare needs
Wellness incentives
Generous time off program that includes personal, holiday and volunteer paid time off
Flexible work schedules and hybrid/remote options for eligible positions