ENSAE Paris - École d'ingénieurs pour l'économie, la data science, la finance et l'actuariat
ENSAE Paris - École d'ingénieurs pour l'économie, la data science, la finance et l'actuariat
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Current job opportunities

On this page, you'll find all current recruitment opportunities at ENSAE Paris, as well as positions to be filled at CREST and GENES in connection with the School's missions, whether for administrative or faculty positions.
Current job opportunities

ENSAE Paris - CREST

ENSAE Paris and CREST are recruiting an Assistant Professor (tenure-track) in the field of Artificial Intelligence applied to finance. The recruitment benefits from the financial support of Hi! PARIS, Paris Artificial Intelligence center for Society and Business.

Candidate Profile

Candidates should have a recognized research activity in machine learning and its applications to finance or in financial modeling based on AI tools. We aim for publications in leading journals across several fields, including machine learning and computer science (e.g., JMLR, JAIR, Pattern Recognition), quantitative finance (Mathematical Finance, Finance and Stochastics), and financial/stochastic modeling (Annals of Applied Probability, Journal of Econometrics, JBES). We also target established journals in broader disciplines such as Journal of Finance, Management Science, and Annals of Operations Research.

CREST is an interdisciplinary lab that includes teams in economics, finance and insurance, statistics and machine learning. The candidate should be able to interact scientifically with colleagues specialized in finance, statistics, and computer science at CREST and other labs of Institut Polytechnique de Paris.

Teaching duties

The recruited candidate will teach in the ENSAE engineering program as well as in partner master programs at Institut Polytechnique de Paris.

Terms and conditions

The appointment starts no later than September 1, 2026. Salary is competitive according to qualifications. Teaching duties are significantly reduced compared to French university standards. The incumbent will have access to substantial research funds covering in particular the funding of a doctoral student.

The position is attributed for an initial three-year term (during which teaching duties is reduced by half if the PhD was obtained less than 3 years earlier), renewable for another three years (with full teaching duties) before the tenure evaluation based on publication track record as well as teaching feedback.

Candidate Requirements

  • PhD in Applied Mathematics, Quantitative Finance, Computer Science, Financial Econometrics.
  • Publications or potential to publish in leading international journals in Machine Learning, Applied
  • Probability, Finance, Econometrics and/or Statistics.
  • Ability to teach Machine Learning/AI/Quantitative Finance at the undergraduate and graduate levels, and to supervise student projects in these areas.

Application documents should be submitted in French or English to jean-david.fermanian@ensae.fr; they should contain:

  • A Curriculum Vitae;
  • A research/job market paper;
  • Details of current and future research projects (research statement) and past teaching activities;
  • Three letters of recommendation.

Application deadline: 5 January 2026

Selected candidates will be invited to present their work at ENSAE-CREST.

Contact persons

The members of CREST's Finance/Insurance team conduct research in a wide variety of fields: financial econometrics, risk management, applications of artificial intelligence techniques in finance and insurance, cyber risks, energy finance, green finance, etc.
ENSAE Paris is an engineering school part of ENSAE-ENSAI group, a public institution of higher education and research specialized in Economics, Statistics, Finance, Insurance and Sociology.
CREST (Center for Research in Economics and Statistics) is a joint research unit between CNRS, ENSAE-ENSAI group and Ecole Polytechnique, covering the same scientific fields.
The Institut Polytechnique de Paris is a world-class Institute of science and technology encompassing six prestigious French Engineering Schools: École Polytechnique, École nationale des ponts et chaussées, ENSTA, ENSAE Paris, Télécom Paris, Télécom SudParis.
Hi! PARIS is the Center on Data Analytics and Artificial Intelligence for Science, Business and Society created by Institut Polytechnique de Paris (IP Paris) and HEC Paris and joined by Inria (Centre Inria de Saclay).

ENSAE-ENSAI group recruits, employs, and promotes regardless of race, religion, color, national origin, sex, disability or age as required by applicable law.

ENSAE Paris and CREST are currently inviting applications for a position of Assistant or Associate Professor. The position is open to computational sociologists, regardless of their research area.

Date of appointment: September 2026

Candidate Profile

  • PhD in Sociology or a related social science discipline (at the time of appointment)
  • Solid general knowledge in Sociology
  • Solid experience using quantitative and computational social science methods
  • Strong publication record or potential
  • Proficiency in English; proficiency in French is a plus Participation in international academic networks.


Conditions
 

The position has no citizenship requirement. At the Assistant Professor level this is a tenure-track position for a six-year period (with mid-term evaluation) and with a possibility for tenure (Associate Professor); early-tenure is possible conditional on qualifications. Tenure evaluation takes into account publication record, promise of research program, teaching evaluations and participation in collective activities of the ENSAE-CREST community.


The teaching load for Assistant and Associate Professors is 70 hours per year. Teaching consists of courses at the undergraduate and Master levels. The successful candidate is expected to teach classes in general sociology, quantitative methods and computational social science. 


Environment


ENSAE Paris is one of the leading French Grande Écoles, specialized in Quantitative Social Sciences, Economics, Data Science, among other areas. CREST is the associated interdisciplinary center for research on quantitative methods applied to the social sciences. Both institutions are part of the Institut Polytechnique de Paris, a cluster of graduate schools, located on the campus of Ecole Polytechnique in the south of Paris.


Sociologists at ENSAE Paris-CREST use empirical data and a diverse range of methods, including quantitative and mixed methods, to study a wide range of topics. We have a strong expertise in methodology and a rich practice with national and international surveys, and of various types of digital data. Our current work addresses questions of social mobility and inequality; demography; work, employment, and organizations; lifestyles and culture; economic sociology; environmental social sciences; migration and immigration; health inequalities; politics and media. 


The research group has a proactive visiting scholar policy and a research seminar with regular participation from international scholars. We teach courses in the ENSAE curriculum and in the Sociology Master’s program which includes two tracks, one in Quantitative Sociology and Demography, and a new one in Computational Social Science. We have a dynamic group of doctoral students who participate actively in the daily life and research activities of the CREST Quantitative Sociology team.


The recruitment benefits from the financial support of Hi! PARIS, Paris Artificial Intelligence center for Society and Business, created by Institut Polytechnique de Paris and HEC Paris and joined by Inria.


Application


Applicants should submit the following documents (in English, PDF format) at recruitment@ensae.fr :

  • Curriculum vitae
  • Research statement detailing their experience and interests (3 pages)
  • Teaching statement detailing their experience and interests (1 page)
  • Names and corresponding information of three individuals willing to provide letters of reference when the candidate is short-listed.


Application Deadline: January, 31st 2026


Selected candidates will be invited for an interview at ENSAE Paris-CREST.
 

For further information, contact the head of the Search Committee, Étienne Ollion. 


ENSAE Paris is part of the group GENES (Groupe des Ecoles Nationales d’Economie et Statistique), a public institution of higher education and research specialized in Economics, Statistics, Finance, Insurance and Sociology. CREST (Center for Research in Economics and Statistics) is a joint research unit between CNRS, GENES and Ecole Polytechnique, covering the same scientific fields.

GENES recruits, employs, and promotes regardless of race, religion, color, national origin, sex, disability or age as required by applicable law.