The Huntington National Bank needs to develop quantitative and predictive models to analyze various risk management activities, including credit, legal, strategic, and reputational risks, and to forecast credit losses for the bank's balance sheet.
Requirements
- Two (2) years of model development experience, including current expected credit loss (CECL), comprehensive capital analysis and review (CCAR), or Origination Scorecard credit modeling.
- Experience must include use of statistical programming languages such as SAS, experience in various stages of the model lifecycle (including data cleaning, data analysis, model fitting, implementation, ongoing monitoring of performance metrics, and analysis of results).
- Additionally, experience applying econometric modeling techniques, including design elements such as Through-the-Cycle and Point-in-Time; model types such as Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD); and experience analyzing the cash flow of a loan, including loan repayment structures (e.g. amortization, balloon loans, draw period, fixed rate vs. variable rate) is required.
- Develop models using SAS and Python
Responsibilities
- Conduct origination scorecard modeling (including reject inferencing), develop strategy and supporting analytics for model use, set up Ongoing Performance Monitoring of models and perform fair lending analyses.
- Provide quantitative support to manage risks associated with Huntington’s balance sheet and provide cross-functional statistical support to different areas within our organization.
- Help develop models and techniques to facilitate the forecasting of credit losses for the Huntington balance sheet, including commercial and industrial lending, commercial real estate, and all types of consumer lending products, such as residential mortgage, home equity lines and loans, auto loans, recreational and marine loans, and credit cards.
- Gather and assemble/process data for model development including portfolio characteristics and relevant economic variables.
- Develop models using SAS and Python, including effective documentation of model development to meet standards set by the model governance group and external regulators.
- Shepherd developed models through model validation performed by an independent model risk management team.
- Perform testing of model implementation to ensure accuracy and work to remedy any issues.
Other
- Master's Degree in Mathematics, Statistics, Economics, or related quantitative field.
- Interact with the line of business and other subject matter experts to gather model requirements and data needs.
- Mentor junior modelers within the Corporate Risk Management division.
- Hybrid work schedule available for employees residing in the Central Ohio area.
- Tobacco Free Hiring Practice: Huntington will not hire any candidate who uses tobacco or any nicotine product.
