Urgent Remote Role: Actuarial Forecasting Lead | Remote | 12-15 years experience

Overview

This role is for an Actuarial Forecasting Lead with 12–15 years of experience. The position supports forecasting and actuarial modeling for insurance and protection products, with a focus on claims behavior, loss development, and financial performance.

• Duration: 12 months (C2H)
• Location: Remote USA
• Start date: ASAP

Responsibilities

• 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, and repair/replacement patterns to identify factors influencing future claims volumes.
• Assess forecast reliability and identify gaps in modeling approaches, data quality, and underlying assumptions.
• Evaluate and recommend appropriate statistical, actuarial, and predictive modeling techniques to improve forecast accuracy.
• Partner with actuarial, supply chain, data science, and engineering teams to improve forecasting models and ensure model outputs meet supply chain planning needs.
• Validate forecast results using actual-versus-expected analysis, back-testing, and scenario analysis.
• Lead functional discussions, model validation, and business acceptance of the forecasting solution.

Requirements

• Strong experience in actuarial modeling, 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 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.
• Experience applying exposure to statistical modeling and AI/ML techniques to claims and loss estimation.
• Experience working with actuarial, claims, underwriting, and finance teams.

Qualifications

• Bachelor’s or Master’s degree in Actuarial Science, Statistics, Mathematics, or a related quantitative discipline.
• Professional actuarial qualifications or progress toward actuarial certification is an added advantage, but not mandatory.
• Practical experience in actuarial modeling, claims forecasting, and applying actuarial projections to business planning is essential.

Compensation & Benefits

Not specified.

Location

Remote USA