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Note: The job is a remote job and is open to candidates in USA. Dice is the leading career destination for tech experts at every stage of their careers. Our client, SumasEdge Corporation, is seeking a Quantitative Financial Data Analyst (Actuary) to support insurance-related reporting and model development using Python and SQL. The role involves collaborating with actuarial and FP&A teams to enhance model performance and ensure data accuracy. Responsibilities • A functional analyst or actuary with Python scripting experience to run and automate insurance-related reports (loss ratios, premiums, collections, claims, etc.). • Strong understanding of the insurance business (e.g., niche segments like tree service general liability) with skills in SQL and Python for building financial models. • Ability to support reserving, pricing, and forecasting functions through data-driven processes and reporting, working closely with actuarial and FP&A teams. • 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. • 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. • 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. • 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. Skills • Functional analyst or actuary with Python scripting experience • Strong understanding of the insurance business • Skills in SQL and Python for building financial models • Ability to support reserving, pricing, and forecasting functions through data-driven processes and reporting • Experience in developing and maintaining actuarial models and data-driven processes using Python, R, and SQL • Experience in implementing and enhancing month-end processes, rate change calculations, and ad-hoc analyses • Ability to ensure accuracy, consistency, and efficiency of actuarial models and methodologies • Experience in supporting reserving analysis to estimate unpaid claim liabilities • Experience in developing and maintaining loss development triangles and IBNR calculations • Experience in supporting the development and validation of actuarial assumptions for pricing, reserving, and forecasting • Experience in developing and regularly reporting on rate change calculations • Experience in conducting stress testing and scenario analysis • Experience in developing, updating, and maintaining models for predictive analytics, profitability analysis, and business planning • Experience in assisting in forecasting financial performance and evaluating risk exposure • Ability to write complex queries in SQL to extract and transform data • Experience in leveraging Python for advanced data processing and automation • Ability to analyze large datasets using Python libraries such as Pandas and NumPy • Experience in developing and implementing Python scripts to automate data processing, actuarial calculations, and reporting workflows Company Overview • Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want. It was founded in undefined, and is headquartered in , with a workforce of 0-1 employees. Its website is https://www.dice.com.