Loss Forecasting Transformation Associate

Role Overview: You will work in partnership with model users, Data Architecture and Technology, and Finance Automation & Execution (FAE) to enhance the end-to-end loss forecasting process across various products such as Home Lending, Business Banking, and Auto. As a Credit Forecast Transformation Associate, you will lead the forecast transformation project to enable the Credit Loss Forecasting team to deliver robust and flawless end-to-end forecast execution. Key Responsibilities: - Streamline both model and non-model components processes and create comprehensive datasets for regular use - Assist in automating non-model forecasts in Frame/Databricks - Collaborate with stakeholders to define requirements for a semantic layer or reporting cube for easy retrieval of overlays and reporting processes - Manage the delivery of multiple automation projects and communicate solutions, roadmaps, and progress to various stakeholders - Facilitate training and mentoring on cloud capabilities, analytical tools, and reporting tools - Ensure firmwide controls and governance are followed, escalate issues and risks, and collaborate with key stakeholders for resolution and prevention - Foster an environment of continuous improvement Qualifications Required: - Strong problem-solving and interpersonal skills - Prior experience with forecast execution or analytics in finance, risk management, or related capacity - Proficiency in data aggregation and analytical/ML tools (e.g., SQL, Python, PySpark) - Experience with structured and unstructured data, semantic layers, and cube dimensions - Familiarity with cloud offerings and capabilities such as S3 Bucket, EMR, SageMaker, Databricks, snowflake, and data catalog tools - Knowledge of Agile/Productivity tools (e.g., JIRA, Confluence, GitHub, IAHUB) - Proficiency in MS Office for creating procedures, process maps, and data analysis - Ability to present findings and recommendations to senior management and stakeholders for various consumer products,