Senior Actuarial Predictive Modeler. The Senior Actuarial Predictive Modeler creates predictive models with a primary focus on pricing segmentation and lifetime value. This role actively develops and implements actuarial pricing models and predictive segmentation strategies, applying established actuarial theory alongside advanced statistical and machine learning techniques. The Senior Actuarial Predictive Modeler works directly with loss cost models, acquisition, retention and conversion models to support accurate, competitive, and financially sound pricing decisions. The role supports complex, end-to-end pricing initiatives—from exploratory analysis and model development through governance, implementation, and monitoring. The Senior Actuarial Predictive Modeler partners closely with Actuarial, Product, Underwriting, and IT teams to translate business objectives into actuarially defensible pricing solutions, ensure regulatory compliance, and support timely rate filings. This position is deeply involved in executing the department objectives and delivering high-quality results. Job Duties. Build and maintain predictive models using proper techniques and methodologies. Ensure solutions built meet the strategic needs of our organization as well as any regulatory or internal parameters. Lead communication of project results/challenges to business partners in ways they can understand. Proactive communication of delays to planned efforts. Ensure all projects have proper documentation taking into account potential regulatory, legal, or business concerns. Actively work on personal development, including enhancing modeling prowess and/or working towards actuarial designation. Lead and mentor team members to ensure progress with development, training, and career pathing. Qualifications. Bachelors Equivalent combination of education and experience Required 4-6 years Experience building and deploying predictive models in an insurance environment required Required 4-6 years Actuarial experience preferred Preferred. Bachelor's Degree in Actuarial, Statistical, or Data Science field (or equivalent combination of education and experience) required. Demonstrated success implementing predictive modeling solutions for insurance use cases. Strong SQL skills. Strong Python skills preferred with other modeling tools and softwares a plus. Strong communication skills. Ability to work in cross-functional/departmental groups. Associate of Casualty Actuarial Society - Casualty Actuarial Society Preferred#LI-DF 1