Jobs → Customer Support → Actuarial Forecasting Lead

About the Role We are immediately hiring an Actuarial Forecasting Lead for a 12-month contract role in the Warranty/Supply Chain industry. This position requires 12-15 years of experience in actuarial forecasting, claims behavior analysis, and financial performance of insurance and protection products. Key Responsibilities • Review existing actuarial forecasting models, methodologies and assumptions used to project warranty claims, device failures and replacement demand • Analyse historical claims, failure rates, product behaviour, repair and replacement patterns to understand factors influencing future claims volumes • Assess the reliability of actuarial forecasts and identify gaps in modelling approaches, data quality and underlying assumptions • Evaluate and recommend suitable statistical, actuarial and predictive modelling techniques to improve forecast accuracy • Work with actuarial, supply chain, data science and engineering teams to improve forecasting models and ensure their outputs meet 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 Requirements • Bachelors or Masters degree in Actuarial Science, Statistics, Mathematics or a related quantitative discipline • 12-15 years of experience in actuarial forecasting, claims behavior analysis, and financial performance of insurance and protection products • Strong experience in actuarial modelling, claims frequency and severity analysis, loss ratio projections and claims cost estimation • Good 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 in 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