Actuarial Forecasting Lead
Divyanshu DUnited StatesLEADPosted 10d ago
Actuarial ModelingClaims Frequency & Severity AnalysisLoss Ratio ProjectionsClaims Cost EstimationClaims ReservingLoss Development AnalysisUltimate Loss ProjectionsExtended WarrantyDevice ProtectionService ContractsSpecialty InsuranceRepair/replacement costsProduct failure trendsClaim incidence ratesActuarial and analytical toolsStatistical modeling techniquesPredictive AnalyticsStatistical ModelingAI/ML
About the Role
We are seeking an experienced Actuarial Forecasting Lead to join our team. This role involves leading the review and enhancement of actuarial forecasting models for warranty claims, device failures, and replacement demand.
Key Responsibilities
• Lead the review and enhancement of actuarial forecasting models used for warranty claims, device failures, and replacement demand.
• Analyze historical claims, product failure rates, repair costs, and replacement trends to improve forecasting accuracy.
• Evaluate actuarial methodologies, assumptions, and data quality to strengthen claims projections and loss estimates.
• Develop and validate actuarial models using historical claims data, exposure, product mix, and cost assumptions.
• Perform actual-vs-expected analysis, back-testing, scenario analysis, and model validation.
• Recommend statistical, actuarial, predictive analytics, and AI/ML techniques to improve forecasting capabilities.
• Collaborate with Actuarial, Finance, Claims, Underwriting, Supply Chain, Data Science, and Engineering teams.
• Lead functional discussions, model reviews, business validation, and forecasting solution implementation.
Requirements
• 12–15+ years of experience in Actuarial Forecasting, Claims Analytics, or Insurance Modeling.
• Strong expertise in Actuarial Modeling, Claims Frequency & Severity Analysis, Loss Ratio Projections, Claims Cost Estimation, Claims Reserving, Loss Development Analysis, and Ultimate Loss Projections.
• Experience building and validating actuarial models using historical claims and exposure data.
• Knowledge of Extended Warranty, Device Protection, Service Contracts, or Specialty Insurance products.
• Strong understanding of repair/replacement costs, product failure trends, and claim incidence rates.
• Experience with actuarial and analytical tools and statistical modeling techniques.