Hanane D.

Hanane D.

Engineer in the Applicative Support team

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location of Hanane D.France

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  • Timeline

  • About me

    Director, Algorithmic Trader | AI Passionate | CFA I, II

  • Education

    • Lycée Descartes MPSI-PSI*

      2001 - 2003
      Two-year preparatory classes for the competitive entrance examinations to the top French Engineering Mathematics, Physics, Industrial Sciences
    • Télécom Paris

      2019 - 2020
      Specialized Certificate (CES) Data science

      Supervised and unsupervised machine learning, Kernel and deep learningInformation Extraction and Web semantic, NoSql, MultimediaHMM/Bayesian networks, Multithreading, ...

    • Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers

      2003 - 2006
      ENSAM ParisTech - National Engineering School Ecole Nationale Supérieure d’Arts et Métiers – Paris, France
    • ESSEC Business School

      2007 - 2008
      MS - Specialized Postgraduate Degree in Financial Techniques Pricing: Options – Black &Scholes model – Monte Carlo Simulation – Interest Rates – Swaps

      Pricing derivatives products: Options – Black &Scholes model – Monte Carlo Simulation – Interest Rates – Swaps

    • Ironhack

      2018 - 2018
      Full Stack dev NodeJS, Express, MongoDB, ReactJS

      Bootcamp 6 months

  • Experience

    • SG CIB - Société Générale Corporate & Investment Banking

      Jan 2006 - Jan 2007
      Engineer in the Applicative Support team
    • Exane

      Jan 2008 - Jan 2009
      Internship: Structuring and Marketing Team

      Final Year Project: Detailed study of the Autocallable Products

    • AXA Investment Managers

      Jan 2009 - Oct 2010
      Risk Analyst

      Risk Analyst on VaR and IssuerRisk, using various tools such as RiskMetrics for portfolio management desks.

    • Societe Generale Corporate and Investment Banking - SGCIB

      Nov 2010 - now

      Capital market Equity Derivatives departement - Trading and Sales teams Working closely with the executive committee of the equity derivatives department.

      • Director - Algorithmic Trader

        Mar 2023 - now
      • Algorithmic Trader

        Nov 2020 - Mar 2023
      • Data Scientist & Manager of Business Intelligence team

        Jan 2017 - Nov 2020
      • BI - Business Intelligence - Listed Products

        Nov 2014 - Jan 2017
      • Business Performance Analyst- COO

        Jan 2012 - Nov 2014
      • Valorisation Analyst Delta One Desk

        Nov 2010 - Jan 2012
    • Qwant

      Jan 2020 - Sept 2020
      Data Scientist: Engaged in a project overseen by Christophe Servan, Head of Research at Qwant.

      NER (Named Entity Recognition) using OpenNMT-tf (Tensorflow version): Parameters optimization of "BLSTM-CNNs-CRF" model , using semi-annotated dataset (with BIOES tagging)Topic and subtopics discovering: NMF vs LDA, using news (french) dataset.Web Tool for Topic Discovering: Front-end tool with Javascript and Highcharts visualisation to display topics and sub topics timeline.

  • Licenses & Certifications