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

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

Past Events