Lead Actuarial Predictive Modeler

AAA • Costa Mesa, CA

4d

About The Position

The Lead Actuarial Predictive Modeler creates predictive models, with a primary focus on pricing segmentation and lifetime value. The role designs, develops, and implements actuarial pricing models and predictive segmentation strategies, applying actuarial theory, statistical methods, and machine learning. It works directly with loss cost models and develops rating features and acquisition, retention, and conversion models to support accurate, competitive, and financially sound pricing decisions.

The position drives complex, end-to-end pricing initiatives from exploratory analysis and model development through governance, implementation, and monitoring. It partners with Actuarial, Product, Underwriting, and IT teams to translate business objectives into actuarially defensible pricing solutions, support regulatory compliance, and enable timely rate filings. The role is deeply involved in execution, managing accelerated timelines, maintaining pricing discipline, and leading delivery of high-quality results. It also mentors predictive modelers and helps with their development, training, and career pathing.

Requirements

• 7–9 years of experience building and deploying predictive models in an insurance environment.
• 7–9 years of actuarial experience is preferred.
• Master's degree in an Actuarial, Statistical, or Data Science field, or an equivalent combination of education and experience.
• Demonstrated success implementing predictive modeling solutions for insurance use cases.
• Strong SQL skills.
• Ability to understand the big picture and drive initiatives through to completion.
• Ability to work in cross-functional or cross-departmental groups and manage multiple moving pieces.
• Ability to communicate complex topics clearly to business leaders.
• Advanced knowledge of ratemaking, actuarial methods and methodologies, predictive modeling, and data science methods and their appropriate application across projects.

Nice To Haves

• Fellow of the Casualty Actuarial Society (FCAS).
• Associate of the Casualty Actuarial Society (ACAS).
• Strong Python skills.
• Experience with other modeling tools and software.

Responsibilities

• Build predictive models, focusing on the most difficult and complex projects.
• Ensure solutions meet organizational strategic needs and regulatory or internal parameters.
• Lead model design and ensure analytic efforts are executed correctly.
• Create execution plans and assist predictive modelers in building robust, predictive models.
• Identify and propose technologies and tools that could benefit the Predictive Modeling and Analytics business unit.
• Communicate project results and challenges clearly to business partners, and proactively communicate delays.
• Mentor team members in development, training, and career pathing.
• Ensure projects are properly documented with potential regulatory, legal, and business concerns in mind.
• Drive end-to-end pricing initiatives, from exploratory analysis and model development through governance, implementation, and monitoring.
• Partner with Actuarial, Product, Underwriting, and IT teams to develop actuarially defensible pricing solutions, support regulatory compliance, and facilitate timely rate filings.
• Manage accelerated timelines, maintain pricing discipline, and lead delivery of high-quality results.
• Act autonomously.
• Mentor and assist predictive modelers in their functions and responsibilities.

Benefits

• Health coverage for medical, dental, and 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 on membership, insurance, travel, entertainment, services, and more.
• For full-time positions, eligibility to participate in an incentive program based on organization, team, and personal performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior