Lead Actuarial Predictive Modeler

AAA

. Create predictive models focused on pricing segmentation and lifetime value .

Posted 10/26/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing and implementing predictive models for pricing segmentation and lifetime value in the insurance sector, with strong capabilities in SQL and Python. Proven ability to lead cross-functional teams, ensure regulatory compliance, and mentor junior modelers.

Highest-signal resume keywords

Predictive ModelingActuarial Pricing ModelsSQLPythonRegulatory Compliance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Predictive ModelingActuarial Pricing ModelsLoss Cost ModelsRatemakingData Science MethodsModel DevelopmentSegmentation StrategiesAcquisition ModelsRetention ModelsConversion Models

Soft Skills

CommunicationMentoringCross-Functional CollaborationProject ManagementProblem Solving

Tools & Technologies

Modeling ToolsStatistical Software

Certifications & Qualifications

Fellow of Casualty Actuarial SocietyAssociate of Casualty Actuarial Society

Industry Keywords

InsuranceActuarial MethodsPredictive SegmentationRate FilingsGovernance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Create predictive models focused on pricing segmentation and lifetime value
Design, develop, and implement actuarial pricing models and predictive segmentation strategies
Develop loss cost models and new rating features
Develop acquisition, retention, and conversion models
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
Translate business objectives into actuarially defensible pricing solutions
Ensure regulatory compliance and support timely rate filings
Build predictive models for complex projects
Lead model design and create execution plans
Identify and propose new technologies and tools
Communicate project results, challenges, and delays to business partners
Mentor team members through development, training, and career pathing
Ensure proper project documentation addressing regulatory, legal, and business concerns
Act autonomously while managing accelerated timelines and delivering high-quality results

Requirements

What you’ll need

Master's degree in Actuarial, Statistical, or Data Science field, or equivalent combination of education and experience
7-9 years of experience building and deploying predictive models in an insurance environment
7-9 years of actuarial experience preferred
Demonstrated success implementing predictive modeling solutions for insurance use cases
Strong SQL skills
Strong Python skills preferred; other modeling tools and software a plus
Advanced knowledge of ratemaking, actuarial methods and methodologies, predictive modeling, and data science methods
Ability to understand the big picture and drive initiatives to completion
Ability to work in cross-functional/departmental groups and manage multiple moving pieces
Ability to communicate complex topics clearly to business leaders
Ability to mentor and assist predictive modelers
Fellow of Casualty Actuarial Society preferred
Associate of Casualty Actuarial Society preferred

Benefits

Comp & perks

Health coverage for medical, dental, vision
401(K) saving plans with company match
Pension
Tuition assistance
Floating holidays
PTO for community volunteer programs
Paid parental leave
Wellness programs
Employee discounts (membership, insurance, travel, entertainment, services and more!)