Support cross-functional activities within Corporate Treasury and Balance Sheet Management groups through Interest Rate Risk (IRR) management and capital management functions. Develop statistical and non-statistical models supporting both Comprehensive Capital Analysis and Review (CCAR) pre-provision net revenue (PPNR) and IRR usage cases, using SAS/R/Python. Utilize the Quantitative Risk Management (QRM) platform as an implementation framework and reporting and analytical tool for conducting Net Interest Income (NII), Economic Value of Equity (EVE) analysis across different rate scenarios. Engage in statistical and data analytics through SQL/SAS/R/Python to support business units across the Corporate Treasury functions, with the aim to understand portfolio and product characteristics and leverage them for business insights. Prepare annual and semi-annual capital planning forecasts and stress tests. Responsible for model productionalization and maintenance activities, including but not limited to monthly IRR production and quarterly model performance monitoring across multiple classes of models to ensure that models continue to perform for all Balance Sheet Management activities, including sensitivity analysis, forecast accuracy analysis, and back-testing. Support colleagues in term of model quality assurance and validation. Engage with stakeholders across Model Governance, Corporate Treasury, and various business lines about model understanding and usage across the various Balance Sheet Management activities. Flexible hybrid work from home policies may apply. Must live in the Columbus, OH metro area.