Tenure Track Faculty: Finance; Associate Professor

Tenure-Track Associate Professor of Finance

The School of Business at Quinnipiac University invites dynamic, innovative, and student-focused educators to join our Finance Department as a tenure-track Associate Professor of Finance beginning in Fall 2027. The School of Business seeks a faculty member who can contribute not only through excellence in teaching and scholarship, but also through leadership in program development, faculty collaboration, industry engagement, and strategic initiatives.

The successful candidate will help shape the future direction of finance education, contribute to strategic initiatives across the School of Business, and play a meaningful role in the continued growth of the department's nationally recognized finance and financial technology programs.

The ideal candidate will demonstrate a record of academic accomplishment and evidence of leadership potential in areas such as curriculum development, program administration, faculty governance, industry engagement, junior faculty mentoring, student mentoring, and strategic initiatives. We seek candidates whose research and teaching interests contribute to the evolving intersection of Finance, Financial Analytics, Artificial Intelligence, Fin Tech, Healthcare Finance, Biotechnology, and data-driven decision making.

We welcome candidates employing both traditional and emerging approaches to important questions in finance. Opportunities exist for interdisciplinary collaboration with faculty across the School of Business and the broader university in areas related to analytics, artificial intelligence, technology, law, healthcare, and innovation.

Teaching responsibilities may include undergraduate and graduate courses in finance, including Investments, Portfolio Management, Corporate Finance, Financial Markets and Institutions, Financial Analytics, Fin Tech, Decentralized Finance (DeFi), and related areas. The successful candidate will have opportunities to contribute to the continued development of innovative programs in Financial Technology, Financial Analytics, Healthcare Finance, and AI applications in finance.

Candidates should demonstrate an established and sustained record of scholarly achievement, with evidence of continuing contributions to high-quality finance research. The department is particularly interested in candidates whose scholarship explores how emerging technologies are reshaping financial markets, institutions, firms, and investors. Relevant areas may include, but are not limited to:
Artificial intelligence and machine learning in financial decision-making, Asset pricing, Investment analysis, Portfolio management, Financial analytics and predictive modeling, Alternative data and computational finance, Fin Tech innovation, Digital assets, blockchain, and decentralized finance, Generative AI and large language models in finance, AI governance, regulation, and the ethical implications for financial markets.