Marco_Picture
Marco Enriquez

Principal Data Scientist
Office of Data Science

Education Summary

  • ​Ph.D., Computational and Applied Mathematics,
    Rice University, 2011
  • ​M.A., Computational and Applied Mathematics,
    Rice University, 2008
  • B.S., Computer Engineering,
    Tufts University, 2005

Fields of Interest

  • Financial Reporting and Disclosure
  • Machine Learning
  • Big Data Analytics
  • Natural Language Processing

Professional Experience

  • Senior Applied Mathematician
  • Division of Economic and Risk Analysis
    U.S. Securities and Exchange Commission
    2020-present
  • Senior Adjunct Professorial Lecturer
  • Department of Mathematics and Statistics
    American University
    2020-present
  • Applied Mathematician
  • Division of Economic and Risk Analysis
    U.S. Securities and Exchange Commission
    2016-2020

Publications

  • McGlosson, Christina and Marco Enriquez, 2019, Financial Industry Compliance with Big Data and Analytics, Journal of Financial Compliance 3(2): 1-15.

Conference Activities

  • Panelist, American Bar Association Administrative Law Conference, Nov. 2019, "Artificial Intelligence for Regulatory Enforcement."
  • Plenary Speaker, 2nd Workshop on Economics and Natural Language Processing, 2019 Conference on Empirical Methods in Natural Language Processing, "NLP For Financial Regulation."
  • Participant (SEC Representative), World Economic Forum, Oct. 2018, "The Future of AI in Financial Services" Workshop - Round 1.
  • Presenter, Joint Statistical Meetings 2018, "Towards Automated Boilerplate Detection."
  • Plenary Speaker, May 2018, Hong Kong Securities and Futures Commission, "Regulatory Applications of Big Data and Machine Learning."
  • Speaker, Artificial Intelligence and Machine Learning in Finance Services Workshop 2018, Rensselaer Polytechnic Institute, "Machine Learning Pipelines for Analyzing SEC Filings."

Other Presentations

    • CPaMS (Computer science, Physics and Mathematics/Statistics) Scholar Program, Loyola University, October 2018.
    • George Washington University, IAQF's "How I Became a Quant" Series, March 2018.

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