Support the development and optimization of pricing models for P&C insurance products. Collaborate with cross-functional teams to analyze trends, assess risks, and recommend competitive pricing strategies. Perform data preparation, cleaning, and analysis to enhance underwriting decisions and improve model accuracy. Develop and maintain tools, dashboards, and reports to monitor pricing performance and profitability. Assist in exploring new methodologies (e.g., machine learning) while ensuring compliance with regulatory guidelines, familiarity with the logic of Generalized Linear Models (GLM) or other modeling methodologies is a plus but not mandatory. Responsibilities: Support the development and optimization of pricing models for P&C insurance products. Collaborate with cross-functional teams to analyze trends, assess risks, and recommend competitive pricing strategies. Perform data preparation, cleaning, and analysis to enhance underwriting decisions and improve model accuracy. Develop and maintain tools, dashboards, and reports to monitor pricing performance and profitability. Assisting in exploring new methodologies (e.g., machine learning) while ensuring compliance with regulatory guidelines, familiarity with the logic of Generalized Linear Models (GLM) or other modeling methodologies is a plus but not mandatory. Requirements: Education: Bachelor’s degree in Actuarial Science or related field (Actuarial certification progress is a plus). Experience: Minimum of 1 year of experience in P&C insurance or actuarial related, preferably in automobile. Technical Skills: Proficiency in Excel, R, and Python is required. Familiarity with pricing tools like Radar Base is a plus but not mandatory. We are an equal opportunities employer and welcome applications from all qualified candidates. #J-18808-Ljbffr NLB Services
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