Quantitative Financial Data Analyst (Actuary)

Quantitative Financial Data Analyst (Actuary)

Posted 1 week ago by 1759478693

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Negotiable
Outside
Remote
USA
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Automation Business Planning Data Analysis Data Management Data Processing Financial Analysis Financial Analytics Financial Data Financial Modeling Financial Planning Financial Planning & Analysis (FP&A) Forecasting General Insurance IBNR Management Market Trend Month-End Closing NumPy Pandas (Python Package) Predictive Analytics Profitability Analysis Python (Programming Language) Risk Management Scenario Analysis Scripting SQL (Programming Language) Verification And Validation Workflows

Summary: The Quantitative Financial Data Analyst (Actuary) role involves utilizing Python and SQL to automate insurance-related reports and support financial modeling within the insurance sector. The position requires a strong understanding of the insurance business and collaboration with actuarial and FP&A teams to enhance data-driven processes. The analyst will also develop and maintain actuarial models, conduct financial assessments, and manage data analysis to ensure high-quality outputs. This is a contract position based remotely in the USA.

Key Responsibilities:

  • Run and automate insurance-related reports using Python scripting.
  • Support reserving, pricing, and forecasting functions through data-driven processes.
  • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL.
  • Implement month-end processes and rate change calculations.
  • Support reserving analysis and develop loss development triangles.
  • Conduct stress testing and scenario analysis for financial impacts.
  • Write complex SQL queries and leverage Python for data processing.
  • Analyze large datasets to identify trends and opportunities for optimization.

Key Skills:

  • Experience with Python and SQL for financial modeling.
  • Strong understanding of the insurance business.
  • Ability to automate processes and enhance model performance.
  • Experience in actuarial tasks and financial analysis.
  • Proficiency in data management and analysis using Python libraries.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: Other

Job Title:- Quantitative Financial Data Analyst (Actuary)

Location:- Remote (EST)

Duration:- Contract

Job Description

  • 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.

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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