Tenure Track Finance Faculty

The College of Business at Loyola University New Orleans invites applications for a fulltime, tenure-track Assistant Professor in Finance beginning Fall 2025 or January 2026. 

The successful applicant will be expected to teach undergraduate and graduate finance courses, with possible courses including: 

• Financial Management
• Investment Management 
• Financial Statement Analytics 
• International Finance 
• Fintech and Emerging Financial Technologies Additional opportunities for future course development may include contributing to evolving areas such as: • 
  • AI Applications in Finance • Data Analytics and Visualization for Financial Decision-Making 
  • ESG (Environmental, Social, and Governance) Investing 
  • Quantitative Finance and Risk Analysis 
• Advanced Financial Modeling All tenure-track faculty positions at Loyola University New Orleans require a 3-3 teaching load, continuous scholarly activity, student advising and service to institutional committees.
• Candidates in their first faculty appointment after completing their PhD are eligible for a reduction in teaching load during the first year to support research activities.

The ideal candidate will have a robust background in finance, with demonstrated expertise in areas such as corporate finance, investments and financial analytics. Candidates should exhibit a commitment to innovative, engaged teaching at both undergraduate and graduate levels, and a desire to stay at the forefront of emerging trends in finance and technology. Candidates must possess a strong research agenda aimed at publishing in ranked academic journals.

We seek candidates who are ready to be active members of a forward-thinking academic community and who have the following qualifications:

• Ph.D. in Finance or a closely related field (ABD candidates will be considered if the degree is completed by the start date) 
• Strong teaching skills with a commitment to fostering an engaging learning environment for diverse students, including first-generation college students 
• Experience or willingness to integrate new technologies such as artificial intelligence, machine learning, or blockchain in finance 
• Familiarity with financial software and tools, including programming languages (Python, R), financial modeling software, or other data analytics platforms 
• Familiarity with the Jesuit educational model and a demonstrated ability to engage students from diverse backgrounds, including first-generation students

Physical Requirements:
Ability to perform job duties with or without reasonable accommodations.