SVP Insurance Actuarial Engineering

JOB OVERVIEW: This is a unique opportunity for credentialed actuaries to transition into a technology solutions architect role and provide actuarial analytics tools for client executives and brokers that inform the business value chain of the deal cycles. We are looking for an SVP of Actuarial Engineering who is an experienced actuary in insurance (REQUIRED) who builds analytics products that non-actuaries can use. You will be hands-on building, validating, and operationalizing actuarial models across commercial lines and benefits portfolio. You will work with a lean team and partner closely with solution engineers to move models from development into production on Azure Databricks platform. You will also translate complex actuarial outputs into clear, executive-ready presentations. WHAT YOU’LL DO: - Actuarial model library across D&O, Cyber, General Liability, Professional Liability, Property, and Employee Benefits (frequency-severity models, loss development, layer pricing, limit adequacy, and program benchmarking). - Collaboration with other actuaries to translate actuarial model outputs into client-ready deliverables and executive presentations. - Operationalization of models built by other teams in the enterprise through SDLC into production in collaboration with data & application engineering partners. - Quality and auditability standards for all actuarial analytics outputs. - 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 as a hands-on builder while scaling modeling, analytics, and advisory capabilities. - 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. - Manage and direct onshore and offshore vendor resources, providing domain guidance, quality review, and delivery oversight. - 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. WHAT YOU’LL BRING: Credentials & Technical Skills: - Actuarial Credentials: FCAS or ACAS preferred. Credentials requirements are flexible for candidates with proven commercial lines brokerage business depth. - Python: Production-level Python for actuarial modeling, statistical analysis, and data manipulation. - SDLC Fluency: Working understanding of version control, testing, documentation, and engineering handoff. - Data & Cloud: Comfort with large policy, claims, and exposure datasets. Working knowledge of Databricks, Azure, or equivalent platforms. - Communication: Proven ability to build executive-level presentations and translate actuarial complexity into clear business narratives. Experience & Education: - 7+ years of actuarial experience with at least 3 years in commercial-lines brokerage, carrier, or consulting environments. - Bachelor's degree in actuarial science, mathematics, statistics, or related quantitative field required; advanced degree preferred. - Demonstrated experience building actuarial models in Python. - Working knowledge of commercial lines insurance across D&O, Cyber, GL, PL, Property, and Employee Benefits.