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.<br><br>Responsibilities:<br>• Design and maintain actuarial models and data-driven workflows using Python and R to support insurance pricing, reserving, and risk management initiatives.<br>• Streamline month-end processes and rate change calculations, ensuring accuracy, consistency, and completeness in all data outputs.<br>• Collaborate with Actuarial and FP& A teams to automate processes and enhance model efficiency through Python-based scripting.<br>• Conduct reserving analysis to estimate claim liabilities in partnership with internal and external actuaries.<br>• Create and update loss development triangles and incurred but not reported (IBNR) calculations using operational and financial data.<br>• Assist in developing and validating actuarial assumptions for pricing, reserving, and forecasting purposes.<br>• Perform stress testing and scenario analysis to evaluate financial impacts and risk exposure.<br>• Develop predictive analytics models and profitability analyses to support business planning and forecasting.<br>• Extract and transform large datasets using SQL and Python libraries, identifying trends and optimization opportunities.<br>• Automate data processing and reporting workflows through the development of advanced Python scripts.
<p>Model Development & Maintenance</p><p> • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management.</p><p> • 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.</p><p> • Work with the Actuarial and Financial Planning and Analysis (FP& A) teams to automate and improve model performance using Python-based scripting and automation.</p><p> • Ensure accuracy, consistency, and efficiency of actuarial models and methodologies.</p><p> Traditional Actuarial Tasks</p><p> • Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries.</p><p> • 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).</p><p> • Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting.</p><p> • Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business.</p><p> Financial Modeling & Risk Assessment</p><p> • Conduct stress testing and scenario analysis to assess financial impacts.</p><p> • Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning.</p><p> • Assist in forecasting financial performance and evaluating risk exposure.</p><p> </p><p> </p>
