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 Associate within PNC's Data, Modeling, & Analytics organization, you will be based in Pittsburgh or Philadelphia, PA.

Key Responsibilities:

• Design analytical models to assess the risk of the card portfolio.
• Analyze large datasets using advanced tools and methodologies to generate actionable insights and support strategic decision-making.
• Conduct portfolio reviews, loss forecasting, and identify opportunities to improve returns and drive business growth.
• Utilize tools such as Python, SQL, Excel, and Tableau to support data analysis and visualization.

Preferred skills and experience:

• Strong proficiency in analytical tools and programming languages (e.g., Python, SQL).
• Expertise in data visualization and reporting using Excel and Tableau.
• Excellent communication skills with the ability to translate complex data into clear business insights.

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.

Job Description

• Performs advanced quantitative analysis and model development through the application of statistical techniques with limited supervision.
• Performs statistical and quantitative analysis and model development to support decision-making by running statistical strategies and working with various asset classes.
• Analyzes and develops new model frameworks in order to support the needs of 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.
• Peforms and analyzes quantitative statistical analysis and develops financial reports. Analyzes 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 financial reports and associated statistical analysis. Analyzes existing models and make recommendations. Uses quantitative tolls and technique to measure and analyze risks.
• Uses quantitative tools and techniques to evaluate identified model risks and reaches conclusions on strengths and limitations of the model. Prepares and analyzes detailed documents for validation and regulatory compliance.

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.

Qualifications

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