PNC is seeking a Senior Quantitative Model Development Analyst to join the Commercial Credit Analytics team to support Wholesale Model Monitoring and the Commercial Data Domain within the Balance Sheet Analytics & Modeling organization. This role aims to enhance model performance, drive insights from commercial portfolios and credit risk models, and improve data management practices.
Requirements
- Proficiency in Python and SQL for data analysis, automation, and reporting.
- Experience with credit risk modeling, including PD, LGD, EAD, CECL, and CCAR frameworks.
- Familiarity with model performance monitoring, validation, and governance processes.
- Experience with data management practices and commercial lending portfolios is a plus.
- Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
- Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity.
- Analyzes complex data and associated quantitative analysis.
Responsibilities
- Monitor performance of Risk Rating models (PD, LGD, EAD) and CECL/CCAR loss forecasting frameworks.
- Partner with underwriters, credit officers, model owners, and developers to assess results and derive actionable model insights.
- Deliver performance updates and insights to senior leadership and governance committees.
- Contribute to Commercial Data Domain initiatives related to risk parameter management.
- Support automation and centralization efforts for model monitoring and analytics processes.
- Build and enhance analytical tools and reports using Python and SQL to meet evolving business needs.
- Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies.
Other
- Degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, or Data Science.
- Ability to collaborate effectively with cross-functional teams including underwriters, credit officers, and model developers.
- Excellent communication skills for presenting technical findings to senior leadership and governance committees.
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
- Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.