Financial Data Analyst

Financial Data Analyst

Posted 5 days ago by 1751617875

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Negotiable
Outside
Hybrid
USA
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Accounting Automation Business Planning Data Analysis Data Management Data Processing Data Quality Finance 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 Financial Data Analyst role involves developing and maintaining actuarial models and data-driven processes to support insurance pricing, reserving, and risk management. The position requires collaboration with actuarial and financial teams to enhance model performance and ensure data quality. Key responsibilities include conducting financial modeling, risk assessment, and automating data processing using Python, R, and SQL. The role is primarily remote or based in Woodbridge Township, New Jersey, and classified as outside IR35.

Key Responsibilities:

  • 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 FP&A teams to automate and improve model performance.
  • Support reserving analysis to estimate unpaid claim liabilities.
  • Develop and maintain loss development triangles and IBNR calculations.
  • Support the development and validation of actuarial assumptions.
  • Conduct stress testing and scenario analysis to assess financial impacts.
  • Assist in forecasting financial performance and evaluating risk exposure.
  • Write complex SQL queries and leverage Python for data processing and automation.
  • Analyze large datasets using Python libraries to identify trends and opportunities.
  • Develop and implement Python scripts for data processing and reporting workflows.

Key Skills:

  • Proficiency in Python, R, and SQL for data analysis and model development.
  • Experience with actuarial modeling and financial analysis.
  • Strong analytical skills and ability to work with large datasets.
  • Knowledge of predictive analytics and profitability analysis.
  • Ability to automate processes and enhance model performance.
  • Familiarity with data management and transformation techniques.

Salary (Rate): undetermined

City: Woodbridge Township

Country: USA

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Description

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.

Requirements

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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Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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