Model Development & Maintenance • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management. • Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses with a focus on completeness, accuracy, and consistency to ensure data is of the highest quality. • Work with the Actuarial and Financial Planning and Analysis (FP& A) teams to automate and improve model performance using Python-based scripting and automation. • Ensure accuracy, consistency, and efficiency of actuarial models and methodologies. Traditional Actuarial Tasks • Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries. • Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations both based on financial and operational data (e.g., claims closing ratios). • Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting. • Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business. Financial Modeling & Risk Assessment • Conduct stress testing and scenario analysis to assess financial impacts. • Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning. • Assist in forecasting financial performance and evaluating risk exposure.

Data Management & Analysis • Write complex queries in SQL to extract and transform data, leveraging Python for advanced data processing and automation. • Build queries with a controls-oriented focus to ensure accuracy, completeness, Analyze large datasets using Python libraries such as Pandas and NumPy to identify trends, patterns, and opportunities for optimization. • Develop and implement Python scripts to automate data processing, actuarial calculations, and reporting workflows.

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Woodbridge, NJ
remote
Temporary
47.50 - 55.00 USD / Hourly
Model Development & Maintenance • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management. • Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses with a focus on completeness, accuracy, and consistency to ensure data is of the highest quality. • Work with the Actuarial and Financial Planning and Analysis (FP& A) teams to automate and improve model performance using Python-based scripting and automation. • Ensure accuracy, consistency, and efficiency of actuarial models and methodologies. Traditional Actuarial Tasks • Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries. • Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations both based on financial and operational data (e.g., claims closing ratios). • Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting. • Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business. Financial Modeling & Risk Assessment • Conduct stress testing and scenario analysis to assess financial impacts. • Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning. • Assist in forecasting financial performance and evaluating risk exposure.
2025-09-23T12:54:05Z