Urgent Remote Role: Actuarial Forecasting Lead | Remote | 12-15 years experience
职位：Actuarial Forecasting 主要时间：12个月 C2H 地点：远程美国开始日期：ASAP 描述：12-15年经验的 Actuarial Forecast 主管，了解索赔行为，损失发展和保险和保护产品的财务表现。该人应能够与债务预测，财务和技术团队密切合作，加强债务预估，亏损估计和债务代价模型能力。经验：· 在债务代码建模，债务频率和严重性分析，亏损比预测和债务成本估算方面有强大的经验。· 了解延长保证，设备保护，服务合同或专业保险产品。· 在保留索赔，损失发展分析和最终损失预测方面的经验。·使用历史索赔经验，暴露数据，产品混合和成本假设构建和审查审核模型的经验。•理解维修和更换成本，索赔发生率，产品故障模式及其对损失预期的影响。· 对待遇和分析工具的经验；·接触统计建模以及 AI ML 技术用于索赔和损失估算。·与审计，索赔，保证和金融团队合作经验。责任：·审查现有的审计预测模型，方法及假设用于投影担保要求，设备故障和替换需求。·分析历史索赔，故障率，产品行为，维修和更换模式以了解影响未来的索赔量因素。·评估审计预报的可靠性并确定建模方法，数据质量和潜在假设中的缺陷。·评估和建议适当的统计，审计和预测建模技术来提高预测准确度。·与审计，供应链，数据科学和工程团队合作，以改善预测模型并确保其产量满足了供应链规划需求。·通过实际对预期分析，后检验和场景分析验证预测结果。·领导功能讨论，模式验证和业务接受预测解决方案。资格：·学士或士学位的审计学科，统计学，数学或相关数量的纪律。·专业审核资格或向审核认证取得进展。
查看英文原文
Role: Actuarial Forecasting Lead
Duration: 12 months C2H
Location: Remote USA
Start Date: ASAP
Description:
12-15 years experienced Actuarial Forecasting Lead who understands claims behaviour, loss development and the financial performance of insurance and protection products. The person should be able to work closely with actuarial, finance and technology teams to strengthen claims projections, loss estimates and actuarial modelling capabilities.
Experience:
- 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.
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 the 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.
Qualifications:
- Bachelor's or Master's degree in Actuarial Science, Statistics, Mathematics or a related quantitative discipline.
- Professional actuarial qualifications or progress towards actuarial certification would be an added advantage, but are not mandatory.
- Practical experience in actuarial modelling, claims forecasting and applying actuarial projections to business planning is essential
All your information will be kept confidential according to EEO guidelines.
Originally posted on Himalayas