SVP Insurance Actuarial Engineering
Core
SVP of Actuarial Engineering building analytics products and actuarial models for client executives and brokers to inform deal cycles and risk benchmarking.
Role type
Senior IC Actuarial Engineering Lead (SVP)
Builds
Production actuarial analytics tools and model libraries for commercial lines and employee benefits
Domain
Insurance (Commercial Lines, Employee Benefits)
Deliverable
production ML models
Required skills
Actuarial modeling, Python, Statistical analysis, Model validation, SDLC management, Vendor management, Executive presentation design, Data architecture
Preferred skills
Azure Databricks, Team leadership, Strategic roadmap planning
Technologies
Azure Databricks, Python
Responsibilities
Design, build, and validate actuarial and statistical models for commercial lines pricing and portfolio analytics using Python; Build and develop a team of actuarial professionals, leading from the front as a hands-on builder; Develop reusable analytics solutions that translate complex model outputs into board-ready presentations and client-facing analytical narratives; Partner with solution engineering to operationalize models on governed platforms, owning the handoff from development through production within a structured SDLC process; Manage and direct onshore and offshore vendor resources, providing domain guidance, quality review, and delivery oversight; Collaborating with solutions leads on architectural decisions affecting client-facing actuarial deliverables; Engage with practice leaders and client executives to embed platform deliverables into new and renewal business workflows; Maintain model documentation, validation records, and auditability standards for client-facing and regulatory contexts; Contribute to the analytics roadmap by identifying opportunities across lines of business for innovative, data-driven insights.