Mathematical Finance & Financial Data Science Seminar

The mathematical finance & financial data science seminar covers a broad range of topics in mathematical and quantitative finance, including:

  • Data science and machine learning in finance
  • Big data  and econometric techniques
  • Quantitative finance
  • Portfolio and risk management
  • Pricing and risk models
  • Regulation and regulatory models
  • Trading strategies and back testing

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This seminar series is part of the Quantitative Finance & Financial Data Science Working Group's activities at NYU Courant, organized by Petter Kolm (email: petter DOT kolm AT nyu DOT edu).

Presenters include invited visitors and NYU Courant faculty. Seminar presentations often cover original research. The seminar meets monthly on Tuesdays at 5:30 pm to 7 pm in room 1302 of Warren Weaver Hall at 251 Mercer Street, unless specified otherwise. Please make sure to check the exact schedule and room assignment. 

Seminar Organizer(s): Petter Kolm

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