8 years of experience in an analytical field or work focused on leading analytical projects, advanced analytics, and risk assessments or leading the analysis and interpretation of complex bank credit risk data to align to team strategy; OR an advanced degree in Business Management, Finance, Economics, Engineering, or in a Mathematical discipline and 6 years of experience in an analytical field or work focused on leading analytical projects, advanced analytics, and risk assessments or leading the analysis and interpretation of complex bank credit risk data to align to team strategy. 6+ years of experience leveraging SAS, SQL, and other analytical programming languages such as Python to extract, transform, and analyze large-scale datasets, including integrating data across multiple sources, managing varying levels of granularity, resolving data quality issues, and performing advanced joins to create robust analytical datasets.