Applies statistical modeling and analytical techniques to produce, analyze, and interpret stress testing and business‑as‑usual (BAU) forecast models across key banking portfolios. Supports the end‑to‑end forecasting process, including data preparation, model execution, and reconciliation to ensure accuracy, consistency, and timeliness of results. Develops and enhances forecasting frameworks and analytical processes to support evolving business and regulatory requirements.
Leverages programming tools such as Python and SQL to automate data processing, streamline forecast production, and improve analytical efficiency. Utilizes appropriate statistical and machine learning techniques to enhance model performance, validate results, or explore alternative modeling approaches.
Collaborates with business partners (Treasury, FPM, Lines of Business) and other analytics teams to support data‑driven decision making and forecast development. Translat...