FBS - Predictive Analytics Manager I

Develop and implement predictive models using advanced statistical and machine learning techniques (e.g., regression, clustering, decision trees, neural networks). Build and maintain programs for predictor and response variables, ensuring model accuracy and scalability. Partner with business stakeholders to understand needs, translate them into analytical solutions, and communicate actionable insights clearly. Present analytical findings to non-technical audiences, explaining methodologies, data sources, and business impact. Explore, prepare, and structure large datasets (internal and external) to support model development and enhancement. Contribute to the design and continuous improvement of modeling frameworks, processes, and best practices. Ensure data quality and model integrity through rigorous validation and review processes. Develop a strong understanding of the data landscape, including sourcing, mapping, and integrating data across systems. Support enterprise data initiatives (e.g., data migration and transformation programs). Collaborate with and mentor junior analysts, sharing knowledge and promoting best practices. Stay current on industry trends, particularly within insurance analytics and predictive modeling.