Lead Actuarial Predictive Modeler

Requirements

• Masters Equivalent combination of education and experience Required
• 7-9 years Experience building and deploying predictive models in an insurance environment required
• 7-9 years Actuarial Experience preferred Preferred
• Master'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
• Ability to understand the big picture and drive the initiatives the lead to completion of the overall big picture
• Ability to work in cross-functional/departmental groups and keep multiple moving pieces straight
• Ability to communicate complex topics clearly to business leaders
• Mentor and assist predictive modelers in their respective functions and responsibilities.
• Fellow of Casualty Actuarial Society - Casualty Actuarial Society Preferred
• Associate of Casualty Actuarial Society - Casualty Actuarial Society Preferred
• #LI-DF1
• The starting pay range for this position is:
• $145,900.00 - $194,600.00 Additionally, for full time positions, you will be eligible to participate in our incentive program based upon the achievement of organization, team and personal performance.
• .
• Remarkable benefits:
• Health coverage for medical, dental, vision
• 401(K) saving plans with company match AND Pension
• Tuition assistance
• Floating holidays and PTO for community volunteer programs
• Paid parental leave
• Wellness programs
• Employee discounts (membership, insurance,
• travel, entertainment, services and more!)
• "Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value."
• AAA is an Equal Opportunity Employer
• Our organization participates in E-Verify
• The Automobile Club of Southern California will consider for employment all qualified applicants, including those with criminal his

Benefits

Additional Information

Lead Actuarial Predictive Modeler The Lead Actuarial Predictive Modeler creates predictive models with a primary focus on pricing segmentation and lifetime value. This role actively designs, develops, and implements actuarial pricing models and predictive segmentation strategies, applying established actuarial theory alongside advanced statistical and machine learning techniques. The Lead Actuarial Predictive Modeler works directly with loss cost models, including developing new rating features as well as acquisition, retention and conversion models to support accurate, competitive, and financially sound pricing decisions. This role drives complex, end-to-end pricing initiatives-from exploratory analysis and model development through governance, implementation, and monitoring. The Lead 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 execution, managing accelerated timelines, maintaining pricing discipline, and leading the delivery of high-quality results. Job Duties Personally build predictive models with focus on the most difficult and complex projects. Ensure solutions built meet the strategic needs of our organization as well as any regulatory or internal parameters. Lead design of models best-suited for specific tasks and ensure analytic efforts are executed correctly. Create execution plans and assist predictive modelers in building robust and predictive models. Identify and propose new technologies and tools that could benefit the Predictive Modeling and Analytics business unit. Lead communication of project results/challenges to business partners in ways they can understand. Proactive communication of delays to planned efforts. Mentor team members to assist with development, training, and career pathing Ensure all projects have proper documentation taking into account potential regulatory, legal, or business concerns. Able to act autonomously. The Senior Modeler must have an advanced knowledge of ratemaking, actuarial methods and methodologies as well as predictive modeling and data science methods and how those methods can be properly applied across different projects.

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