• Develop and implement advanced statistical and machine learning models to predict loan performance, borrower risk, prepayment likelihood, and renewal opportunities • Partner with credit, portfolio management, and lending teams to identify high-impact use cases for data-driven solutions • Automate data ingestion, transformation, and reporting processes to streamline analytics workflows • Build dashboards and data visualizations that communicate insights effectively to executive and front-line stakeholders • Design and execute experiments and A/B tests to measure the effectiveness of lending strategies and risk policies • Leverage R or Python for model development, statistical analysis, and data manipulation • Work with structured and unstructured data, including loan files, collateral valuations, market data, and financial statements • Stay informed on emerging AI techniques and assess their applicability to commercial lending and banking operations • Mentor analysts and contribute to building a data-driven culture within the Bank • Perform other duties as assigned