Quantitative Analytics & Model Development Analyst Senior - Balance Sheet Analytics & Modeling

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics & Model Development Analyst Senior within PNC's Commercial Credit Analytics Team within the Balance Sheet Analytics & Modeling organization, you will be based in Pittsburgh, PA, Cleveland, OH, Tysons or Vienna, VA.

We are seeking a Senior Quantitative Model Development Analyst to join the Commercial Credit Analytics team s role supports Wholesale Model Monitoring and the Commercial Data Domain within the Balance Sheet Analytics & Modeling organization. The position offers exposure to a broad range of commercial portfolios, credit risk models, and collaboration with subject matter experts. It also involves working with data management best practices to drive insights and enhance model performance.

This position involves the following.

• 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.

Preferred skills and experience:

• Degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, or Data Science.
• Experience with credit risk modeling, including PD, LGD, EAD, CECL, and CCAR frameworks.
• Proficiency in Python and SQL for data analysis, automation, and reporting.
• Familiarity with model performance monitoring, validation, and governance processes.
• 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.
• Experience with data management practices and commercial lending portfolios is a plus.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

• Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.
• Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.
• Performs quantitative analysis and develops complex reports. 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. Makes recommendations based on findings from data analytics.
• Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
• Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• 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.

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics,…