Financial Data Analyst

Job Description

Job Description

We are looking for a skilled Financial Data Analyst to join our team on a contract basis in Woodbridge, New Jersey. In this role, you will apply your expertise in actuarial modeling, financial analysis, and data management to support critical decision-making processes in the financial services industry. This position provides an excellent opportunity to work collaboratively with actuaries and financial teams, leveraging advanced tools and techniques to drive insights and optimize operations.

Responsibilities :

• Design and maintain actuarial models and data-driven workflows using Python and R to support insurance pricing, reserving, and risk management initiatives.
• Streamline month-end processes and rate change calculations, ensuring accuracy, consistency, and completeness in all data outputs.
• Collaborate with Actuarial and FP& A teams to automate processes and enhance model efficiency through Python-based scripting.
• Conduct reserving analysis to estimate claim liabilities in partnership with internal and external actuaries.
• Create and update loss development triangles and incurred but not reported (IBNR) calculations using operational and financial data.
• Assist in developing and validating actuarial assumptions for pricing, reserving, and forecasting purposes.
• Perform stress testing and scenario analysis to evaluate financial impacts and risk exposure.
• Develop predictive analytics models and profitability analyses to support business planning and forecasting.
• Extract and transform large datasets using SQL and Python libraries, identifying trends and optimization opportunities.
• Automate data processing and reporting workflows through the development of advanced Python scripts.
• Proficiency in Python and R for actuarial modeling and data analysis.
• Strong background in SQL for writing complex queries and transforming datasets.
• Experience in actuarial analysis, including reserving and pricing methodologies.
• Familiarity with casualty insurance concepts and financial modeling techniques.
• Ability to develop and maintain financial and predictive models.
• Expertise in data mining techniques and the use of libraries like Pandas and NumPy.
• Strong analytical skills with attention to accuracy and detail.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.