Paul-Noël Digard's Location

New York, NY, US

Paul-Noël Digard's Work

Paul-Noël Digard's Education

  • University of California, Berkeley, Haas School of Business

    Master of Financial Engineering

    2020 - 2021
  • ENSAE Paris

    MSc and BSc (Statistics & Economics)

    2017 - 2020
  • Lycée Masséna

    (MPSI-MP* (Mathematics, Physics, Computer Science))

    2014 - 2017
  • Lycée Fénelon

    French Baccalaureate (Sciences)

    2011 - 2014

Paul-Noël Digard's Skills

  • Python
  • Mathematics
  • LaTeX
  • Econometrics
  • Git
  • Machine Learning
  • Deep Learning
  • Statistics
  • C++

Paul-Noël Digard's Summary

Paul-Noël Digard, based in New York, NY, US, is currently a Associate at Morgan Stanley, bringing experience from previous roles at Morgan Stanley, HSBC, AXA and LaFinBox. Paul-Noël Digard holds a 2020 - 2021 Master of Financial Engineering @ University of California, Berkeley, Haas School of Business. With a robust skill set that includes Python, Mathematics, LaTeX, Econometrics, Git and more, Paul-Noël Digard contributes valuable insights to the industry. Paul-Noël Digard has 1 email on RocketReach.
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