Current job offers


Position in Statistics and/or Machine Learning at ENSAE ParisTech‐CREST

ENSAE ParisTech and CREST are currently inviting applications for a position of Assistant or Associate Professor in Statistics or Machine Learning.

The appointment starts in September, 2019, at the earliest. At the level of Assistant Professor, the position is for an initial three-year term renewable for another three years before the tenure evaluation. Salary is competitive according to qualifications. The teaching duties are reduced compared to French university standards. At the appointment, knowledge of French is not required but it is expected that the appointee will acquire a workable knowledge of French in a reasonable time.

Candidate Profile

  • PhD in Statistics or Machine Learning.
  • Outstanding research, including subjects in high-dimensional statistics and machine learning.
  • Publications in leading international journals in Statistics or leading outlets in Machine Learning.
  • Demonstrated ability to teach courses in Mathematics, Statistics and Machine Learning for engineers and to supervise projects in Applied Statistics. The successful candidate is expected to teach at least one course in mathematics, applied mathematics or introductory statistics at the undergraduate level, and one course in the “Data Science, Statistics and Machine Learning”’ specialization track during the third year of ENSAE (Master level).


Applications should be submitted (in French or in English) by email to recruitment(at) :

  • Curriculum vitae;
  • Statement of research and teaching interests (2-4 pages);
  • Names and addresses of three or more individuals willing to provide letters of reference.

Deadline for applications : April 29, 2019.

Selected candidates will be invited to present their work and project at ENSAE‐CREST.

Contact persons

  • Alexandre Tsybakov alexandre.tsybakov(at)
  • Arnak Dalalyan arnak.dalayan(at)
  • Laurent Davezies, head of graduate studies at ENSAE laurent.davezies(at)


Download the job offer

Faculty position in Quantitative Finance and Actuarial science

ENSAE Paris-Tech and CREST are currently inviting applications for a position at the level of associate or full professor in quantitative finance and/or actuarial science. Candidates should have an excellent scientific level with a recognized research activity in statistics and significant experience of teaching. The position starting date will be September 1, 2019.



Applications are encouraged from candidates with a broad expertise at the interface between the areas covered at ENSAE-CREST, namely quantitative finance, financial econometrics, actuarial science, Data-Science applied to finance/actuarial issues. The successful candidate will have a PhD, and will have published in top academic journals in finance, econometrics, actuarial science and/or statistics. He/she will have demonstrated ability to teach quantitative finance, actuarial science, statistics at the undergraduate and graduate levels.



The position is for an initial three-year term, with a renewal option in case of positive evaluation of research and teaching activities. A possible tenure option can be considered after the six-year term. Salary for suitably qualified applicants is competitive and commensurate with experience and scientific level.



Applicants should submit (in French or in English):

  • A curriculum vitae detailing the research and the teaching experience ;
  • A statement of research and teaching interests (2-4 pages) ;
  • Names and addresses of three or more individuals willing to provide letters of reference


Applications should be submitted at : recruitment(at) by email before

March 15, 2019


Selected candidates will be invited to present their work and project at ENSAE‐CREST.


Additional Information

If you have any questions, please e-mail :

  • Jean-Michel Zakoian, head of the Finance/Insurance lab: zakoian(at)
  • Pierre Biscourp, Director of ENSAE ParisTech : pierre.biscourp(at)


About the Finance / Insurance group of CREST
Members of the group of Finance/Insurance of CREST have recently published papers in Econometrica, Journal of Econometrics, Journal of Banking and Finance, Mathematical Finance, Finance and Stochastics, Journal of Business and Economic Statistics, Journal of Financial Econometrics.


About ENSAE ParisTech
ENSAE ParisTech is one of the leading French “Grandes écoles” in the fields of economics, finance, actuarial science, statistics and econometrics. ENSAE ParisTech and CREST have moved in 2017 to the campus of Ecole polytechnique, in the south of Paris. ENSAE ParisTech is in the process of building, together with Ecole polytechnique, ENSTA ParisTech, Télécom ParisTech and Télécom SudParis, a world-class institute of science and technology.

Please visit our websites and for general information about ENSAE and CREST. Information (in French only) about the activities and members of the Finance group can be found here.