Actuarial Forecasting Lead – 12-15 years experience

TMS, LLC

. Review existing actuarial forecasting models, methodologies, and assumptions used to project warranty claims, device failures, and replacement demand .

Posted 10/19/2026contractRemote • New Jersey • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in actuarial forecasting, including model validation, claims analysis, and statistical techniques to enhance forecast accuracy. Proficient in collaborating with cross-functional teams to align actuarial insights with business planning and supply chain needs.

Highest-signal resume keywords

Actuarial ModellingClaims Frequency AnalysisLoss Ratio ProjectionsStatistical Modelling TechniquesActuarial Qualifications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Actuarial ForecastingClaims Cost EstimationLoss Development AnalysisPredictive ModellingData AnalysisScenario AnalysisBack-TestingClaims ReservingStatistical TechniquesAI/ML Techniques

Soft Skills

CollaborationLeadershipCommunication

Tools & Technologies

Actuarial ToolsAnalytical Tools

Certifications & Qualifications

Actuarial Certification Progress

Industry Keywords

Extended WarrantyDevice ProtectionService ContractsSpecialty InsuranceClaims Projections

About the role

Key responsibilities & impact

Review existing actuarial forecasting models, methodologies, and assumptions used to project warranty claims, device failures, and replacement demand
Analyze historical claims, failure rates, product behavior, repair patterns, and replacement patterns influencing future claims volumes
Assess actuarial forecast reliability and identify gaps in modelling approaches, data quality, and underlying assumptions
Evaluate and recommend statistical, actuarial, and predictive modelling techniques to improve forecast accuracy
Collaborate with actuarial, supply chain, data science, and engineering teams to improve forecasting models and align outputs with supply chain planning needs
Validate forecast results through actual-versus-expected analysis, back-testing, and scenario analysis
Lead functional discussions, model validation, and business acceptance of the forecasting solution
Work closely with actuarial, finance, and technology teams to strengthen claims projections, loss estimates, and actuarial modelling capabilities

Requirements

What you’ll need

12–15 years of experience in actuarial forecasting or a related actuarial role
Strong experience in actuarial modelling, claims frequency and severity analysis, loss ratio projections, and claims cost estimation
Understanding of extended warranty, device protection, service contracts, or specialty insurance products
Experience in claims reserving, loss development analysis, and ultimate loss projections
Hands-on experience building and reviewing actuarial models using historical claims experience, exposure data, product mix, and cost assumptions
Understanding of repair and replacement costs, claim incidence rates, product failure patterns, and their impact on loss projections
Experience with actuarial and analytical tools
Exposure to statistical modelling and AI/ML techniques applied to claims and loss estimation
Experience working with actuarial, claims, underwriting, and finance teams
Bachelor's or Master's degree in Actuarial Science, Statistics, Mathematics, or a related quantitative discipline
Practical experience in actuarial modelling, claims forecasting, and applying actuarial projections to business planning is essential
Professional actuarial qualifications or progress toward actuarial certification are advantageous but not mandatory

Benefits

Comp & perks

Remote work opportunity
Contract-to-hire (C2H) arrangement
Confidential handling of applicant information under EEO guidelines