As a recognized ARPM affiliate organization, we’re excited to offer our audience $300 OFF the standard course price! To redeem the discount, select “CFA Society New York” from the Affiliates dropdown at signup.
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Overview
Presented by Advanced Risk and ℙortfolio Management (ARPM)®
The Quant Bootcamp is the most comprehensive 4+2 days overview course in advanced Data Science with applications to Quantitative Finance, clarifying how all topics fit together.
The Quant Bootcamp program features an overview of the topics covered in greater depth in the Quant Marathon and guest lectures by prominent speakers.
The Quant Bootcamp provides multiple networking opportunities:
- e-Lounge: online venue to socialize with hundreds of fellow Bootcampers from worldwide and ARPM instructors
- Social Mixer: an informal gathering to mingle, chat, play, share memories
- Guest speakers: world renowned quants have presented at the Quant Bootcamp.
Data Science & Quant Finance
- Nonmembers: $2,500
Data Science Only
- Nonmembers: 1,700
Livestream
- Nonmembers: 1,500
Self-Paced
- Nonmembers: 1,100
Agenda
New York onsite and Live streaming
8:00 AM | INTRODUCTION & OVERVIEW OF DATA SCIENCE FOUNDATIONS
Attilio Meucci
12:00 PM | BREAK
1:15 PM | PRESENTATION by Peter Kolm
2:00 PM | PRESENTATION by John Hull
7:05 PM | CASE STUDIES WITH Sophie King
8:00 AM | OVERVIEW OF ADVANCED DATA SCIENCE
Attilio Meucci
12:00 PM | BREAK
1:15 PM | PRESENTATION by Bob Litterman
2:00 PM | PRESENTATION by Dan Di Bartolomeo
7:05 PM | CASE STUDIES WITH Sophie King
8:00 AM | OVERVIEW OF DATA SCIENCE FOR FINANCE
Attilio Meucci
12:00 PM | BREAK
1:15 PM | PRESENTATION by Dilip Madan
2:00 PM | PRESENTATION by Igor Halperin
7:05 PM | CASE STUDIES WITH Millennia Kojic
8:00 AM | FINANCIAL ENGINEERING
Attilio Meucci
12:00 PM | BREAK
1:15 PM | PRESENTATION by Andrew Ang
2:00 PM | PRESENTATION by Dan Rosen
7:05 PM | CASE STUDIES WITH Milena Kojic
CFA NY Discount — $300 Off
Quant Bootcamp | Quant Marathon | |
---|---|---|
Topics | Advanced Data Science and Quant Finance | |
Depth | Overview | Detail |
Format | One course, 4+2 days | Six courses, one semester each |
Audience | Quant-curious | STEM Master/PhD |
Commitment | 40 hours (total) | 80 hours (per course) |
Delivery | Onsite/online | Online |