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

Current job opportunities

Caractéristiques du poste

  • Intitulé du poste : DIRECTEUR GENERAL DE DATASTORM (F/H)
  • Statut : Dirigeant
  • Salaire : En fonction du profil et de l’expérience
  • Date d’occupation souhaitée : Au plus tôt (1er avril 2023 souhaité)
  • Localisation : Paris (Montrouge) principalement et plateau de Saclay occasionnellement
  • Télécharger l'offre en PDF

Descriptif du poste

Datastorm est une société (SAS) créée en 2013 pour répondre à une demande grandissante d’expertise dans le domaine de la statistique, de l’économie, de la Datascience et de l’intelligence artificielle, en tant qu’entreprise de droit privé, filiale à 100% du Groupe ENSAE-ENSAI (GENES).
Datastorm permet aux entreprises et aux organismes publics d’enrichir leur propre capacité de recherche et développement par l’adjonction de l’expertise très riche en Datascience, en intelligence artificielle et en économie des laboratoires du groupe ENSAE-ENSAI et de ses laboratoires partenaires. Positionnée sur un secteur porteur, c’est une entreprise en croissance rapide.

Depuis sa création, Datastorm a mené de nombreuses missions d’expertise et de conseil pour des donneurs d’ordre privés et publics, et a développé à leur profit des algorithmes maîtrisés grâce à la compréhension de leurs mécanismes et de leur domaine de validité. Donner du sens aux données, est une marque forte de DataStorm et du Groupe ENSAE-ENSAI.
Avec le souhait de rester agile, Datastorm privilégie une organisation légère avec un regroupement de l’ensemble des équipes opérationnelles (une douzaine de collaborateurs, des recrutements sont à prévoir) au sein d’une direction unique pilotée par le directeur général et 1 directrice des opérations (COO), chargée principalement du suivi opérationnel des projets.

Chez Datastorm, chaque salarié consacre une partie de son temps à des travaux de R&D : développement d’outils (R, python, …), recherche algorithmique / optimisation, veille technologique et académique, écriture de white paper / post / article, formation interne, participation à des conférences…

Poste et missions :

Le directeur général sera responsable du fonctionnement et du développement de l’entreprise. Il devra élaborer, en accord avec le Président de Datastorm, la politique générale de développement de l’entreprise : développement commercial, marketing et financier.

Le directeur général devra notamment assurer une veille sur les nouvelles tendances du secteur de la Datascience, identifier de nouveaux leads et signer de contrats à long terme avec de nouveaux clients (une trentaine actuellement) puis en assurer la fidélisation. Il devra également gérer les réponses aux appels d’offres, identifier des chercheurs ou partenaires pouvant intervenir sur des projets. Il est hautement souhaitable qu’il dispose de connaissances en Datascience le mettant en capacité de participer à certaines missions.

Le directeur général devra entretenir une culture d’entreprise et fédérer les équipes autour d’un projet commun, notamment en communiquant auprès des collaborateurs pour les faire adhérer aux décisions et aux valeurs de l’entreprise. Il sera responsable du recrutement (entretiens finaux), des relations sociales avec le CSE élu et effectuera le suivi des thèmes de travail en R&D.

Le directeur général sera responsable du pilotage financier : les budgets, le calcul de prévisionnel, les indicateurs financiers & commerciaux, les relations avec l’expert-comptable.

Relations :

Le directeur général devra assurer la visibilité de l’entreprise sur le marché de façon permanente, en exploitant les nouveaux moyens de communication (LinkedIn, twitter, web, médias…), en participant à la rédaction d'articles ou en mobilisant des personnes externes.
Datastorm étant une filiale du groupe ENSAE-ENSAI, le directeur général devra maintenir des relations avec le monde académique, en particulier les chercheurs du groupe pour qu’ils puissent intervenir sur des projets exigeant une expertise pointue.

Le directeur général rendra compte de son action auprès du conseil d’administration et de l’actionnaire.

Profil recherché

De formation supérieure, votre expérience vous a porté vers un rôle de dirigeant(e) (de type CEO, CTO). Vous y avez démontré votre leadership et votre savoir-faire dans le développement d’une startup orientée data, écosystème dont vous connaissez les acteurs et les enjeux concurrentiels. Vous avez une excellente compréhension des différents challenges liés au sourcing, au traitement et la vente de solutions data et d’algorithmes (enjeux techniques, commerciaux et légaux).

Vous avez une expérience dans l’analyse data.

Vous êtes un(e) Business Developer. Vous avez la capacité de créer et maintenir des partenariats de qualité avec toute partie prenante. Vous avez à coeur de développer la structure que vous dirigez afin d’en faire un acteur reconnu sur le marché.

Vous êtes connu pour vos compétences en management et êtes reconnu pour votre leadership. Vous excellez dans l’élaboration de stratégies, dans le recrutement d’équipes adéquates et dans la définition d’objectifs ambitieux mais réalistes. Vous accompagnez étroitement vos équipes et supervisez leurs progrès afin de révéler tout leur potentiel. Vos capacités à prendre des décisions dans un environnement complexe couplées à votre capacité d’adaptation seront les clés de votre réussite à ce poste.

Candidature

Contact : recrutement@datastorm.fr

GENES 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 Associate Professor in Statistics and Machine Learning, with a recognized research activity in these fields. Candidates should have an excellent scientific background and significant teaching experience.

The appointment starts on September 1, 2023. Salary is competitive according to qualifications. The teaching duties are reduced compared to French university standards.

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 and 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 and Machine Learning. The successful candidate is expected to supervise projects in Applied Statistics or Machine Learning, and to teach a course in applied mathematics or introductory statistics at the undergraduate level.

Applications should be submitted in French or English to recruitment@ensae.fr and should contain:

  • Curriculum vitae;
  • Statement of research and teaching interests; 
  • Names and addresses of threor more individuals willing to provide letters of reference.

Application deadline: March 24, 2023

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

Contact persons

ENSAE Paris is part of the group GENES Groupe des écoles nationales d’économie et statis-tique), 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 scien-tific fields. 


GENES 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 hiring an Assistant Professor or an Associate Professor in Sus-tainable finance, with a recognized research activity in this field. Candidates should have an excellent scientific background and significant teaching experience. Preference will be given to candidates with a quantitative background and broad knowledge of finance, economics, econometrics, at least to the level required to teach these subjects at the undergraduate level. The appointment starts on September 1, 2023. Salary is competitive according to qualifications. Teaching duties are reduced compared to French university standards. At the Assistant Professor level, the position is attributed for an initial three-year term (during which teaching duties are 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. At the level of Associate Pro-fessor, the position is permanent.

Candidate Profile

  • PhD in Sustainable Finance, other areas of Finance, including Quantitative Finance, or Environmental Economics.
  • Publications in leading international journals in Finance and/or Economics on the topic of Sustainable / Climate Finance.
  • Ability to teach Sustainable Finance at the undergraduate and graduate levels, and to supervise student projects in this area 

Application documents should be submitted in French or English to recruitment@ensae.fr. They should include:

  • A curriculum vitae;
  • Details of current and future research projects and past teaching activities; 
  • The names and addresses of at least three French or foreign academic referees who could write a letter of recommendation. 

Application deadline: March 20th, 2023

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

Contact persons

CREST is a multidisciplinary research unit made of four teams: economics, statistics, finance-insurance and sociology. Research in Finance/Insurance focuses on financial econometrics, risk management, applications of artificial intelligence techniques in finance and insurance, cyber risks, energy finance, and green finance. We want to contribute to the major societal challenge of the twenty-first century, fighting climate change. Research in environmental economics and sustainable finance at CREST contributes to the interdisciplinary Energy for Climate (E4C) center of Institut Polytechnique de Paris as well as international research net-works such as CLIMATE-KIC or GRASFI the global research alliance on sustainable finance and investment.

ENSAE Paris is part of the group GENES (Groupe des écoles nationales d’économie et statis-tique), a public institution of higher education and research specialized in Economics, Statis-tics, Finance, Insurance and Sociology. CREST (center for research in economics and statis-tics) 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. 

Presentation and context of the institution

The Institut Polytechnique de Paris (IP Paris - https://www.ip-paris.fr/), legally created in May 2019, brings together five Grandes Ecoles: the École Polytechnique, ENSTA Paris, ENSAE Paris (a GENES school), Télécom Paris and Télécom SudParis (two IMT schools). This grouping of five institutions of excellence within the Institut Polytechnique de Paris deliberately places itself in an international approach to higher education and research. It enables these Schools to combine their strengths, to amplify their existing cooperative actions and to gain in visibility, especially internationally, by capitalizing on their assets and by carrying out a transformation that will position the Institut Polytechnique de Paris according to international standards. Gathered on the same campus, the aforementioned Schools have tremendous potential, enabling them to leverage their strengths to implement joint projects.

Hi!PARIS (https://www.hi-paris.fr/): created jointly by HEC Paris and the Institut Polytechnique de Paris (IP Paris), Hi!PARIS is a new interdisciplinary research and teaching center dedicated to AI and Data Sciences. Hi!PARIS aims to become a world leader in the field within 5 years by addressing the main challenges of technological transformation and its impact on business and society. The Center will rely on the 300 researchers and the infrastructures of IP Paris and HEC Paris in these fields. It is a continuation of an intense dynamic collaboration between the two institutions, which already share a common doctoral school and master's degrees. It is entirely financed by corporate sponsors mobilized around the two academic institutions. A unique space for breakthroughs, training and innovation, technology development and transfer, Hi!PARIS will be active in key application areas such as energy and environment, defense and security, health, retail and luxury goods, telecoms, food, finance and insurance... By strengthening the collaboration between IP Paris and HEC Paris, and by capitalizing on their expertise covering a broad academic spectrum, Hi!PARIS will have a powerful impact on a European and global scale in terms of data-IA research and training (engineers, managers, young researchers, continuing education), resources that are today indispensable to companies and laboratories, both in public and private sectors.

ENSAE Paris and IP Paris welcome applications for a tenure track position as Assistant Professor in Statistics and Machine Learning to begin as soon as possible and no later than in September 2023. Applicants are expected to have demonstrated research potential. Serious consideration will be given to candidates whose research focuses on one of the following fields: reinforcement learning, learning on graphs, generative modeling and optimal transport. The successful candidate will be affiliated to CREST (http://crest.science/). The position comes with a substantial recruitment package.

Work description

The primary focus is research on advanced methods in statistics and machine learning, both in its theoretical and applied dimensions, as a part of the “AI and Data Sciences for Society” area of Hi!PARIS. The successful candidate will have demonstrated leadership and research accomplishments in Statistics and Machine Learning including but not limited to the following research areas: reinforcement learning, learning on graphs, generative modeling and optimal transport, as well as applications in economics, finance, biology, health and climate.

The main criterion for employment is a strong commitment to research and teaching. The position requires a Ph.D. in Statistics, Machine Learning or another related field. The candidate must have evidence of strong research productivity in the aforementioned fields. Experience in classroom teaching is highly desirable.

The position includes a substantial recruitment package including salary and research budget. Hi!PARIS aims to increase the proportion of women in research and teaching and therefore expressly invites qualified female scientists to apply.

Applicants are kindly requested to send the following documents combined in a single PDF file to the address recruitment@ensae.fr.

  1. Cover letter
  2. Curriculum vitae
  3. Research statement
  4. Teaching statement
  5. List of three referees

The deadline for applications is February 19th, 2023.

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

Contact persons

ENSAE Paris and CREST are recruiting an Assistant Professor or an Associate Professor in Quantitative Finance and/or Actuarial Science, with a recognized research activity in these fields. Candidates should have an excellent scientific background and significant teaching experience. 

We will give preference to candidates whose research topics are broad and fall within ENSAE-CREST's areas of specialization, namely financial modeling, actuarial science, mathematical finance, and data science applied to finance/insurance problems. 

The appointment starts on September 1, 2023. Salary is competitive according to qualifications. Teaching duties are reduced compared to French university standards. 

At the Assistant Professor level, the position is attributed for an initial three-year term (during which teaching duties are 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. At the level of Associate Professor, the position is permanent.

Candidate Profile

  • PhD in Finance, Mathematical Finance, Actuarial Studies or Statistics.
  • Publications in leading international journals in Quantitative Finance, Actuarial Studies, Applied Probability, Econometrics and/or Statistics.
  • Ability to teach Quantitative Finance and/or Actuarial Science at the undergraduate and graduate levels, and to supervise student projects in these areas 

Application documents should be submitted in French or English to recruitment@ensae.fr; they should contain :

  • A curriculum vitae ;
  • Details of current and future research projects and past teaching activities ; 
  • The names and addresses of at least three French or foreign academic referees who could write a letter of recommendation. 


Application deadline : March 20, 2023
Selected candidates may be invited to present their work at ENSAE-CREST.

Contact persons

The members of CREST's Finance/Insurance division 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. They have recently published articles in Econometrica, Management Science, Journal of Econometrics, Journal of Banking and Finance, Mathematical Finance, Finance and Stochastics, Journal of Business and Economic Statistics, Insurance: Mathematics and Economics, Scandinavian Actuarial Journal, etc.

ENSAE Paris is part of the group GENES (Groupe des écoles nationales d’économie 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. 
 

The Department of Economics at Institut Polytechnique de Paris has openings at the ranks of Assistant Professor and Associate Professor. We welcome applications from all fields in economics.

Candidate profile, application instructions and additional information are available on the job description.