Role Description As a Modeling Lead, you will work closely with the Head of Modeling to design, build, and operate Everly’s actuarial modeling ecosystem and the supporting actuarial/finance data foundation. This is a highly hands-on role spanning actuarial models, enterprise data design, and end-to-end data pipelines that power pricing, reserving, reporting, and analytics. You will also help leverage AI-enabled tooling to accelerate the development and evolution of Everly’s in-house actuarial modeling platform—improving development velocity, validation workflows, documentation, and insight generation while maintaining strong actuarial controls and governance. This position is ideal for a senior actuarial modeler who is comfortable operating at the intersection of actuarial science, software engineering, and modern data platforms. What You’ll Do - Actuarial Modeling & Execution - Build, enhance, and maintain actuarial models for pricing, reserving, projections, and financial analytics. - Translate modeling standards and approaches set by the Head of Modeling into robust, production-ready implementations. - Implement, test, and maintain actuarial assumptions, experience studies, and stress/scenario analyses. - Support recurring and ad-hoc model runs across development, validation, and production environments. - Refactor and optimize models for performance, transparency, and scalability. - Enterprise Data Model & Modern Data Pipeline Support - Help design and maintain the enterprise actuarial and finance data model, ensuring consistency across pricing, valuation, financial reporting, and analytics. - Partner with Data Engineering and Technology teams to support end-to-end data pipelines (ingestion → transformation → storage → consumption) that make actuarial outputs reliable and reusable. - Support data validation, reconciliation, and controls between source data, model inputs/outputs, and downstream reporting. - Contribute to a modern data lake/lakehouse approach where appropriate, and support use cases across platforms such as Snowflake and open table formats. - Modeling Infrastructure, Controls & Governance - Contribute to shared modeling frameworks, libraries, and reusable components. - Support model versioning, documentation, testing, and change management processes. - Assist with internal model reviews, validation efforts, audit requests, and regulatory support. - Identify model and data risks, limitations, and dependencies, and communicate them clearly. - AI-Enabled Modeling & Platform Evolution - Partner with the Head of Modeling to apply AI and automation to improve speed and quality of model development and enhancement. - Use AI-enabled tooling to support activities such as development acceleration, test generation, documentation drafting, model/result validation workflows, and scenario exploration—while keeping human actuarial judgment in control. - Evaluate new approaches pragmatically, prioritizing auditability, reproducibility, and measurable impact. - Cross-Functional Partnership - Work closely with Finance, Product, Data, Technology, and Operations teams to ensure actuarial models and data outputs are actionable and consumable. - Translate actuarial and financial results into clear insights for non-actuarial stakeholders. - Support strategic initiatives including new product development, reinsurance analysis, and platform evolution. Qualifications - Bachelor’s degree in Actuarial Science, Mathematics, Finance, Statistics, or a related field. - Progress toward, or attainment of, ASA or FSA (or equivalent designation). - 6–10+ years of experience in actuarial modeling within life insurance and/or annuities. - Strong hands-on experience in pricing and/or reserving models. - Strong quantitative development skills with proficiency in one or more of: Python, R, C++, Rust, Java. - Experience working with large datasets and structured analytical/modeling workflows. - Strong analytical skills with high attention to detail, controls, and data integrity. Benefits - Employees are eligible for an annual incentive bonus designed to reward for performance. - The salary range for this job in most geographic locations in the US is $161,000 to $176,000. - Flexible paid time off for PTO, plus paid holidays, days of Significance, and a Volunteer Day. - Paid parental leave eligible after 3 months of service. - Medical, Dental & Vision Insurance. - 401k with company match. - Profit Sharing & Savings Plan. - Short-term and long-term disability insurance. - Flexible spending account. - Life insurance. - Educational Assistance. - Associate Assistance Programs and more!