In response to its continuous growth, IÉSEG School of Management is looking for two full-time professors in Financeat the Assistant, Associate or Full Professor level (Paris or Lille Campus, starting in September 2025). He/She/They will be a part of the Department of "Finance". Demonstrating proven expertise in the fields of machine learning/artificial intelligence, data analytics, banking or quantitative methods will be considered a plus for the position. Knowledge of Bloomberg or Python are additional assets for the position.ABOUT IÉSEG SCHOOL OF MANAGEMENT IÉSEG holds the "triple crown" of international accreditations (AACSB, AMBA & EQUIS) and is a member of the "Conférence des Grandes Écoles". The School offers Bachelor, Master and Post-Graduate Degrees as well as Executive Education programs. IÉSEG is also one of the leading French business schools in terms of research. The IÉSEG Research Center is accredited by the French CNRS (National Center for Scientific Research). Our Lille Campus is in the heart of Northern France (within the triangle made up by London, Paris and Brussels), and our Paris Campus is located in the biggest European business district of "La Défense". More information on the school can be found here: www.ieseg.fr/en ABOUT THE DEPARTMENT The department of "Finance" consists of around 40 members who teach and perform research in the areas of Financial Markets, Banking or Corporate Finance. An overview of our diverse group of professors can be found here: Finance Department ABOUT THE POSITION The positions include both a research and teaching mission. The balance between both will be adjusted to the selected candidate's profile.Through research, the selected candidate will contribute to the vibrant research community at IESEG. He/she/they is therefore expected to hold a PhD, have a strong publication record (or potential for Assistant Professors) in top-tier refereed journals listed in AJG, as well as a good international network. In terms of teaching, the selected candidate will teach courses in Finance, with a special focus on machine learning/artificial intelligence, data analytics, banking or quantitative methods at the undergraduate, graduate and/or postgraduate level. In addition, he/she/they will contribute to the development of the Department's programs. As such, we are looking for candidates with strong pedagogical skills, and who are fluent in English, as most courses are taught in this language. Professional experience and knowledge of French are a plus, but not a requirement. Finally, we are looking for candidates who embody our core values of Accomplishment, Responsibility, Integrity, Solidarity, and Engagement, and fit our diverse and international culture in which over 50 nationalities are represented. IÉSEG places tremendous value on diversity and inclusion, and we therefore encourage applications from all backgrounds. Underrepresented groups in academia (notably women, minority ethnic groups, people identifying as LGBTQIA+, people with a (non-)visible disability, and people from lower socio-economic backgrounds and/or economically developing countries) are particularly encouraged to apply, as we are highly committed to ensuring that IÉSEG reflects and benefits from the diversity present in society.WORKING AT IÉSEGAt IÉSEG, we are committed to providing a supportive and engaging work environment. To new faculty members (and their partner), we offer a wide range of resources to help them integrate into the country, culture and school, such as individualized French language courses, a relocation allowance, and housing search assistance. Moreover, all faculty members have access to a competitive salary, as well as benefits such as French social security, a complementary health insurance, meal vouchers, a profit-sharing plan, and a contributory pension scheme. Finally, the school provides resources for research (e.g., funding for conferences and data collection) and offers competitive financial bonuses for high quality international peer-reviewed research publications. JOIN IÉSEG!When applying, please upload a single pdf file merging the following documents:A CV The names, affiliations, and email addresses of three referees (recommendation letters are required at a later stage in the application process)A cover letter explaining your motivation to work at IESEGA research and a teaching statement One working paper Recent teaching evaluations (if available) For any further question, please contact us by e-mail at ******(Applications received by email will not be reviewed)APPLICATIONS WILL BE CONSIDERED UPON RECEPTION. THE PROCESS WILL CONTINUE UNTIL THE POSITION IS FILLED.