| NYU onsite/Live streaming | July 12, 2027 |
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| NYU onsite/Live streaming | July 12, 2027 |
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Built for quantitatively trained minds, the Quant Bootcamp shows how disparate machine learning
techniques connect across financial engineering, risk management, and portfolio construction.
Learn how to choose the correct techniques and avoid common modeling mistakes influenced by hype.
Mingle with world-renowned researchers and hundreds of professionals from all over the world.
After the Bootcamp, review all topics in the Lab with your AI personal trainer.
The Quant Bootcamp runs over 4 full days at NYU/streaming and 2 additional full days streaming only, one week later.
The Quant Bootcamp program features an overview of all the Machine Learning and Quantitative Finance topics covered in the Lab: mornings are devoted to theory, and afternoons to applications in Python and guest lectures.
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Mon, Jul 12 |
Tue, Jul 13 |
New York University onsite and Live streamingWed, Jul 14 |
Thu, Jul 15 |
one-week |
Thu, Jul 22 |
Live streaming onlyFri, Jul 23 |
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Introduction |
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Recap |
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Break |
Break |
Break |
Break |
Break |
Break |
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D. Rosen |
B. Dupire |
S. Uryasev |
D. Madan |
M. Wolf |
P. Kolm |
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J.P. Bouchaud |
F. Mercurio |
D. diBartolomeo |
L. Goldberg |
B. Litterman |
C.A. Lehalle |
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Applications Sophie King |
Applications Sophie King |
Applications Milena Kojic |
Applications Milena Kojic |
Applications Sophie King |
Applications Sophie King |
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Social Mixer |
The Quant Bootcamp provides multiple networking opportunities: