Responsibilities:Coordinates and reviews data collection, trend identification, and pattern recognition, using advanced techniques to drive decision making and identification of data driven insightsContributes to the adoption of enterprise information products through communicating in a clear manner how enterprise information products answer material banking questions leading to decisions and actionsApplies agile practices for project management, solution development, deployment, and maintenanceProvides oversight and support of technical documentation, capturing the business requirements, and specifications related to the developed analytical solution, and implementation in productionReviews work products to ensure adequate quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environmentMitigates risk by identifying potential issues and developing controlsPossesses deep knowledge and subject-matter expertise of the latest advances in the fields of data science and artificial intelligence to support business analyticsEvaluating Proof of Concepts for Enterprise Credit Business Cases leveraging emerging AI technologies, ensuring alignment with strategic priorities and assessing feasibility, scalability, and value across the model portfolio. Experience designing multi‑step or agentic workflows, where NLP models reason across tools, data sources, or intermediate outputs to complete complex tasks (e.g., retrieval‑augmented generation, planning‑execution loops).Demonstrated success applying NLP or LLM‑based solutions to document‑heavy domains such as credit, risk, compliance, policy interpretation, or underwriting.