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Finance d’Entreprise et Finance de Marché

Date : 05/06/2023

Assistant/Associate Professor in Quantitative Finance/ Data Science/Applied Statistics

ESC CLERMONT BUSINESS SCHOOL
CLERMONT FERRAND
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Présentation de l'établissement :

Accredited by the AACSB, EFMD for its Bachelor degree and AMBA, ESC Clermont Business School aims to reveal the talents and passions of a new generation of change-makers, placing people and the planet at the heart of its choices. Through its strategic plan « Reveal 2027 », the School affirms its determination to train and support its students by developing their skills, sharpening their critical manner of thinking and encouraging them to explore all possibilities.

With a faculty of fifty permanent professors and a large network of experts, the School welcomes 2,000 students (one third of whom are international) in its initial education programmes: Bachelor, Master Grande Ecole, Specialised Master, MBA and Masters of Science. The ESC Clermont Business School also has a continuing education activity and offshore programmes.

ESC Clermont Business School is the founder, with the University of Clermont Auvergne, of CleRMa (Clermont Research Management), the research center in management sciences on the Clermont site. The School pursues ambitious objectives of intellectual contributions oriented towards innovation in management in a sustainable perspective.

Located in the centre of Clermont-Ferrand, a student town renowned for its quality of life and its cultural and sporting dynamism, ESC Clermont Business School offers a working environment favourable to personal and professional development.

Description du poste :

ESC Clermont Business School invites applications for one position of assistant or associate professor in Quantitative Finance /Applied Statistics/ Data Science/ Machine Learning. The position is for a full-time (5 days/week), starts from September 2023, and is non-fixed term contract.

Profil recherché / Compétences requises

The candidate should have a Ph.D. in Quantitative Finance/ Data Science/Statistics or related quantitative fields. Ph.D. students near Ph.D. completion are also invited to apply.

Applicants must be able to demonstrate their potential to publish research in peer-review academic journals and teach effectively.

The successful candidate will be asked to participate in the teaching of Business Analytics, Quantitative Finance, Applied Statistics and R / Python Programming at the undergraduate and graduate levels in both English and French, and to develop lectures in their field of expertise.

Some courses that the candidate may teach are the following:

  • Python for Finance and Programming in Finance
  • R and Python for Business Analytics
  • Machine Learning techniques applied to Finance
  • Financial Modelling (Excel VBA)
  • Data Analysis

As part of the Faculty, the professor will have to:

  • Teaching in full-time and continuing education, both in English and French.
  • Conducting research projects related to the CleRMa research areas, publishing and disseminating research results.
  • Coordinating teachings in relation with permanent and affiliated professors.
  • Supervising students.
  • Participating to internal and external working groups (pedagogical innovation, program engineering, etc.).
  • Contributing to the influence of the School.

The position is based in Clermont-Ferrand. There are a number of benefits attached to the contract including an individual research or pedagogical budget, and research performance-based bonuses.

Documents à transmettre

Candidates are invited to send the following application material:

  • A cover letter
  • A complete Curriculum Vitae with a list of publications and classes taught
  • Samples of research (two intellectual contributions)
  • Two recent teaching experience (list of courses, number of hours, and teaching evaluations)
  • Contact information of two referees

 

Contact :

Deadline: June 30th 2023

Review of applications will begin on June 8, 2023, and continue until the position is filled.

For more information: Prof. Mahassen Aissa, mahassen.aissa@esc-clermont.fr

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