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 an ALM Associate Director, Balance Sheet Analytics within PNC's Finance organization, you will be based in New York City, NY or Pittsburgh, PA. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. About the Team The PNC Chief Investment Office (CIO) Quantitative Modeling team develops, maintains, and monitors quantitative models supporting investment portfolio management, balance sheet analytics, interest rate risk management, and financial decision-making. The team applies economics, finance, and data-driven research to help model customer behavior, financial markets, macroeconomic trends, and key drivers of business performance. Role Overview We are seeking a quantitative researcher with 5+ years of experience in econometrics, empirical research, statistical modeling, or quantitative analytics. This role applies advanced quantitative methods to customer, transactional, and economic datasets to develop forecasting models, behavioral analytics, and decision-support insights supporting deposit products and balance sheet management. Candidates should possess strong analytical, programming, and communication skills, along with a demonstrated ability to work with large datasets and effectively communicate complex findings to both technical and non-technical stakeholders. The successful candidate will conduct empirical research, develop predictive and behavioral models, evaluate customer and product dynamics, and translate analytical findings into actionable business recommendations. This role offers the opportunity to work on high-impact research problems at the intersection of economics, finance, customer behavior, and quantitative modeling. Education: Master's degree required; PhD preferred.
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Job Type
Full-time
Career Level
Director