Associate Director, Deposit Quantitative Research

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 an Associate Director, Deposit Quantitative Research 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.

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.

Master's degree required; PhD preferred.

Required • Master's degree in Economics, Finance, Econometrics, Statistics, Mathematics, Operations Research, Data Science, or a related quantitative field. • 5+ years of experience in empirical research, econometrics, statistical modeling, predictive analytics, or quantitative research. • Strong programming skills in Python and SQL, with experience working with large structured datasets. • Demonstrated ability to independently formulate research questions, design analytical approaches, execute empirical studies, and communicate findings to technical and non-technical audiences. Preferred • PhD in Economics, Finance, Econometrics, Statistics, Mathematics, Operations Research, or a related quantitative field. • Experience analyzing deposit, consumer banking, payments, lending, credit card, or other customer-level financial datasets. • Experience with customer behavior modeling, balance forecasting, causal inference, panel-data econometrics, time-series analysis, or machine learning techniques. • Research experience at a Federal Reserve Bank, U.S. Treasury, academic research institution, quantitative consulting firm, fintech, or financial services research team, including publications, working papers, or conference presentations. 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.

Utilizes financial analysis, research, and reporting to facilitate business strategy, process improvements, and remediation activities. Participates in stress testing efforts Based on own