Graduate Intern, Modeling, Chief Investment Office; CIO); Non-Campus

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the market 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 Graduate Intern, Modeling with PNC’s Chief Investment Office organization, you will be based in New York City, NY.

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.

The PNC CIO Quantitative Modeling team develops models and analytics for deposit behavior, mortgage products, and firm’s investment portfolio. The team applies economics, finance, and data-driven research to quantify interest rate risk, and support investment and balance sheet management decisions. We are seeking PhD and Master's students in Economics, Finance, Econometrics, Statistics, Applied Mathematics, or related quantitative disciplines who are nearing graduation.

This internship is designed for candidates with strong econometric and empirical research training who want to apply quantitative methods to real-world financial and economic challenges. Successful candidates will have a strong analytical background and experience conducting empirical research using economic and financial data. This position is based in New York City and requires full-time, in-office participation. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

• Conducting empirical research on customer behavior, fixed income markets using large financial and economic datasets.
• Developing and enhancing econometric, statistical, and predictive models for deposits, mortgage prepayments, fixed income securities, and interest rate risk measurement.
• Designing analytical frameworks that quantify balance sheet optionality and supporting portfolio and risk management decisions.
• Presenting research findings and investment insights to quantitative, risk, and business stakeholders.

• PhD (preferred) or Master's student graduating within the next 12 months.
• Strong training in econometrics, empirical finance, statistics, or quantitative economics.
• Proficiency in Python and experience working with large datasets.
• Demonstrated research experience through dissertations, publications, working papers, or research assistantships.

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. Competencies Accuracy and Attention to Detail, Analytical Thinking, Effective Communications, Flexibility and Adaptability, Information Capture, Initiative, Products and Services, Self-Directed Growth and Development Work Experience Roles at this level are filled by recent university / college graduates with little or no professional experience, but possessing relevant skills.

Includes individuals joining the organization through a Corporate development/ training program. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Base Salary: $63,000.00 – $ Salaries may vary based on geographic…