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Data Scientist - NLP Engineer chez BNP Paribas Corporate and Institutional Banking
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Télécom Paris
BGD - Big Data : gestion et analyse des données massives, Data Science
January 1, 2015 – January 1, 2016
Université Paris Dauphine - PSL
Master 104 Finance (ex DEA 104), Mathématiques, finance
January 1, 2011 – January 1, 2012
Université Paris Dauphine - PSL
Master 1 M.M.D (Mathématiques de la Modélisation et de la Décision), Mathématiques
January 1, 2007 – January 1, 2011
BNP Paribas Corporate and Institutional Banking
Data Scientist - NLP Engineer (Data and Artificial Intelligence Lab for Global Market)
May 1, 2017 – Present
Région de Paris, France
ArgoZ
Co-fondateur
May 1, 2016 – March 1, 2017
Région de Paris, France
BNP Paribas
Project Manager
May 1, 2014 – September 1, 2015
Ciblo.net
Account Manager
March 1, 2013 – April 1, 2014
Societe Generale
Pricing/Structuring assistant
July 1, 2012 – December 1, 2012
Paris
Sabre Fund Management
Research Analyst
June 1, 2011 – August 1, 2011
London, Royaume-Uni
Callanish Capital Partners
Intern
June 1, 2010 – August 1, 2010
Région de Amsterdam, Pays-Bas
HSBC
auxiliaire de vacances
September 1, 2008 – September 1, 2008
Cultural Fit Analysis
The candidate has a diverse background spanning finance, startups, and large corporate environments. Their experience as a co-founder at ArgoZ demonstrates an innovative and agile mindset, while their long tenure at BNP Paribas shows stability and an ability to thrive in established organizations. The blend of academic rigor and practical application in data science and NLP aligns well with roles requiring both theoretical depth and hands-on implementation. However, the lack of explicit project details beyond high-level descriptions makes it difficult to fully assess cultural alignment with specific team dynamics or open-source contributions.
Soft Skills & Operational Fit
The candidate's experience as a Project Manager and Co-founder suggests strong leadership, strategic thinking, and problem-solving skills. Their work in various financial institutions indicates an ability to operate in structured, high-stakes environments. The descriptions, while not explicitly detailing soft skills, imply collaboration and communication through project coordination and client interaction.