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

PNC • Tysons, VA

21h • $55,000 - $157,300 • Onsite

About The Position

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 at PNC. This 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. 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.

Requirements

• Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role.
• Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience.

Nice To Haves

• 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.

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.

Benefits

• PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
• To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees