Financial Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Financial Data Analyst, fully remote, with a contract length of 3-4 months. Key skills include Python, R, SQL, data analysis, and actuarial modeling. Experience in insurance pricing and reserving is required. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Datasets #Data Management #Forecasting #Python #Complex Queries #Data Analysis #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Automation #NumPy #Data Processing #Libraries #R #Pandas #Scripting
Role description
Financial Data Analyst
Fully Remote
3-4 Months Contracts
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.
Financial Data Analyst
Fully Remote
3-4 Months Contracts
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.
