Quantitative Analytics & Model Associate - Data, Modeling, & Analytics

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.

- 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.

- 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.

- 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.

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, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience Roles at this level typically require a university / college degree with Education Bachelors