Lead Actuarial Predictive Modeler - Pricing & Segmentation

AAA; St. Louis (MO); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health coverage

401(K) and Pension

Tuition assistance

Job summary

AAA is seeking a Lead Actuarial Predictive Modeler in St. Louis to drive end-to-end pricing initiatives. The role focuses on developing predictive models for pricing segmentation and lifetime value, leveraging actuarial theory with advanced statistics and ML techniques.

Collaboration with Actuarial, Product, Underwriting, and IT ensures compliant, data-driven pricing strategies. The candidate will lead model design and execution, mentor colleagues, and ensure robust documentation while

Qualifications

• Master's degree or equivalent in Actuarial, Statistics, or Data Science.
• 7–9 years of experience building and deploying predictive models in insurance.
• 7–9 years of actuarial experience preferred.
• Master’s degree in Actuarial, Statistical, or Data Science field required.
• Demonstrated success implementing predictive modeling solutions for insurance use cases.
• Strong SQL skills.
• Strong Python skills preferred.

Responsibilities

• Build predictive models with focus on pricing segmentation and life-time value.
• Lead design of models for specific actuarial tasks and create execution plans.
• Identify and propose new technologies and tools for pricing analytics.
• Communicate project results to business partners clearly; manage delays.
• Mentor predictive modelers in development and career growth.
• Ensure proper documentation for regulatory and business concerns.
• Act autonomously with deep knowledge of ratemaking and pricing disciplines.

Skills

SQL

Python

Actuarial methods

Data science

Communication

Mentoring

Education

Master's degree in Actuarial/Statistical/Data Science

Fellow of CAS

Associate of CAS

Job description

AAA is seeking a Lead Actuarial Predictive Modeler in St. Louis to drive end-to-end pricing initiatives. The role focuses on developing predictive models for pricing segmentation and lifetime value, leveraging actuarial theory with advanced statistics and ML techniques.

Collaboration with Actuarial, Product, Underwriting, and IT ensures compliant, data-driven pricing strategies. The candidate will lead model design and execution, mentor colleagues, and ensure robust documentation while