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Financial Data Analyst

Robert Half

Location:
United States , Woodbridge

Category:
Finance

Contract Type:
Not provided

Salary:

Not provided

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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

Additional Information:

Job Posted:
January 02, 2026

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