Lead Actuarial Predictive Modeler

AAA • Coppell, TX

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 using established actuarial theory, statistical methods, and machine learning. It works with loss cost models and develops rating features as well as 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, ensure regulatory compliance, and support timely rate filings. The role is hands-on in execution, manages accelerated timelines, maintains pricing discipline, and leads delivery of high-quality results.

The Lead Actuarial Predictive Modeler builds models for the most difficult and complex projects, ensures solutions meet strategic, regulatory, and internal requirements, and leads model design and execution. The role creates execution plans, assists predictive modelers in building robust models, identifies beneficial technologies and tools, communicates results and challenges to business partners, and proactively communicates delays. It mentors team members in development, training, and career pathing, ensures projects are properly documented with potential regulatory, legal, and business concerns in mind, and is able to act autonomously. The posting also refers to the Senior Modeler and describes the advanced actuarial and predictive modeling expertise needed for the work.

Requirements

• 7–9 years of experience building and deploying predictive models in an insurance environment.
• Strong SQL skills.
• 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.
• 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, including how to apply those methods across projects.

Nice To Haves

• 7–9 years of actuarial experience.
• Strong Python skills.
• Experience with other modeling tools and software.
• Fellow of the Casualty Actuarial Society (FCAS).
• Associate of the Casualty Actuarial Society (ACAS).

Responsibilities

• Personally build predictive models for the most difficult and complex projects.
• Ensure model solutions meet organizational strategic needs and regulatory or internal parameters.
• Lead the design of models suited to specific tasks 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.
• Proactively communicate delays to planned efforts.
• Mentor team members and support their development, training, and career pathing.
• Ensure projects have appropriate documentation that accounts for potential regulatory, legal, and business concerns.
• Drive complex 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, ensure regulatory compliance, and support timely rate filings.
• Manage accelerated timelines, maintain pricing discipline, and lead delivery of high-quality results.

Benefits

• Health coverage for medical, dental, and vision.
• 401(k) savings plan with company match.
• Pension.
• Tuition assistance.
• Floating holidays.
• Paid time off for community volunteer programs.
• Paid parental leave.
• Wellness programs.
• Employee discounts on membership, insurance, travel, entertainment, services, and more.

What This Job Offers

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