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Robert Half Logo Robert Half · Finance

Financial Data Analyst

United States, Woodbridge · Job Posted January 02, 2026
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Job Responsibility

  • Develop and maintain actuarial models and data-driven processes to support insurance pricing, reserving, and risk management
  • Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses
  • Work with the Actuarial and Financial Planning and Analysis (FP&A) teams to automate and improve model performance
  • 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
  • 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

Requirements

  • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL
  • Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses
  • Work with 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
  • Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations
  • Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting
  • Develop and regularly report on rate change calculations
  • 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
  • Develop and implement Python scripts to automate data processing, actuarial calculations, and reporting workflows

What we offer

  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
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