The School of Business at Quinnipiac University is seeking a tenure-track Associate Professor of Finance to join their Finance Department starting Fall 2027. This role requires a faculty member who excels in teaching, scholarship, and leadership in areas such as program development, faculty collaboration, industry engagement, and strategic initiatives. The successful candidate will play a key role in shaping finance education, contributing to the School of Business's strategic goals, and advancing the department's finance and financial technology programs. The ideal candidate will have a strong academic record and leadership potential in curriculum development, program administration, faculty governance, industry engagement, and mentoring. The university is particularly interested in candidates whose research and teaching interests align with the intersection of Finance, Financial Analytics, Artificial Intelligence, FinTech, Healthcare Finance, Biotechnology, and data-driven decision making, welcoming both traditional and emerging research approaches. Opportunities for interdisciplinary collaboration exist across the School of Business and the university in areas like analytics, AI, technology, law, healthcare, and innovation. Teaching responsibilities will cover undergraduate and graduate finance courses, including Investments, Portfolio Management, Corporate Finance, Financial Markets and Institutions, Financial Analytics, FinTech, and Decentralized Finance (DeFi). The role also offers opportunities to contribute to the development of innovative programs in Financial Technology, Financial Analytics, Healthcare Finance, and AI applications in finance. Candidates must demonstrate a sustained record of scholarly achievement and ongoing contributions to high-quality finance research, with a focus on how emerging technologies are reshaping financial markets, institutions, firms, and investors. Relevant research areas include AI and machine learning in finance, asset pricing, investment analysis, portfolio management, financial analytics, alternative data, FinTech, digital assets, blockchain, decentralized finance, generative AI, large language models, and AI governance and ethics.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree