Lead Actuarial Predictive Modeler

null, ACSC Management Services Inc • Coppell, TX

9d

About The Position

The Lead Actuarial Predictive Modeler creates predictive models, primarily focused on pricing segmentation and lifetime value. The role designs, develops, and implements actuarial pricing models and predictive segmentation strategies, combining established actuarial theory with advanced statistical and machine-learning techniques. It works directly 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 role 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 turn business objectives into actuarially defensible pricing solutions, ensure regulatory compliance, and support timely rate filings. The position is execution-focused, managing accelerated timelines, maintaining pricing discipline, and leading delivery of high-quality results.

Requirements

• Master's degree in an actuarial, statistical, or data science field, or an equivalent combination of education and experience.
• 7–9 years of experience building and deploying predictive models in an insurance environment.
• 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 departmental groups and manage multiple moving pieces.
• Ability to communicate complex topics clearly to business leaders.
• Ability to mentor and assist predictive modelers in their functions and responsibilities.
• Advanced knowledge of ratemaking, actuarial methods and methodologies, predictive modeling, and data science methods, including how to apply them across different projects.

Nice To Haves

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

Responsibilities

• Build predictive models for the most difficult and complex projects, ensuring solutions meet organizational strategic needs and regulatory or internal parameters.
• Lead the design of models suited to specific tasks and ensure analytical 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 to business partners in understandable terms, and proactively communicate delays to planned efforts.
• Mentor team members through development, training, and career pathing.
• Ensure projects have appropriate documentation, accounting for potential regulatory, legal, and business concerns.
• Work autonomously and apply advanced knowledge of ratemaking, actuarial methods, predictive modeling, and data science across projects.
• Partner with Actuarial, Product, Underwriting, and IT teams to develop pricing solutions, support regulatory compliance, and enable timely rate filings.
• Drive pricing initiatives through exploratory analysis, model development, governance, implementation, and monitoring.

Benefits

• Health coverage for medical, dental, and vision.
• 401(k) savings plan 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.

What This Job Offers

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