Assistant Professor

Saint Louis University

1d•Onsite

About The Position

Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Assistant Professor of Finance JOB DUTIES Teach finance courses at undergraduate and graduate level (40%), perform research in finance (40%), and provide faculty service (20%). MINIMUM QUALIFICATIONS PhD in Finance or Business Administration with concentration in Finance (can be foreign equivalent).Expertise, high quality research, and excellent teaching in Financial Technology (FinTech), Machine Learning and Artificial Intelligence in finance context, and Advanced econometric/data analytics skills, including non-quantitative data and alternative data. Please submit application using the SLU Workday applicant tracking system. Function Nonmedical Primary Appointment <12 mo. Scheduled Weekly Hours: 40 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847. Saint Louis University is a premier employer in the St. Louis region that attracts faculty and staff from around the world. We recruit people of all faiths who share our mission to pursue truth for the greater glory of God and the service of others.

Requirements

PhD in Finance or Business Administration with concentration in Finance (can be foreign equivalent)
Expertise, high quality research, and excellent teaching in Financial Technology (FinTech), Machine Learning and Artificial Intelligence in finance context, and Advanced econometric/data analytics skills, including non-quantitative data and alternative data.