Quantitative Analytics & Model Development Analyst - Data, Modeling & Analtyics
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 within PNC's Data, Modeling & Analytics Commercial Credit Analytics organization, you will be based in Pittsburgh, PA, Tysons Corner, VA, Cleveland, OH or Cherry Hill, or East Brunswick, NJ. Role Overview: We are seeking a Quantitative 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. 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.
Requirements
- Degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, or Data Science.
- Proficiency in Python and SQL for data analysis, automation, and reporting.
- 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.
- University / college degree, with 2+ years of relevant professional experience.
- In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Nice To Haves
- Experience with credit risk modeling, monitoring, validation and governance processes is a plus
- Experience with data management practices and commercial lending portfolios is a plus
- Analytical Thinking
- Credit Risks
- Data Analytics
- Financial Analysis
- Model Development
- Operational Risks
- Quantitative Models
- Risk Appetite
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.
- Performs advanced quantitative analyses and models development to support decision-making by running quantitative strategies.
- 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 large data to create models.
- Performs quantitative analysis and develops 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.
- 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.
Benefits
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
