Learn Advanced Data Science applied to Quantitative Finance
ARPM trains finance professionals and graduate students with strong mathematical foundations in advanced statistical techniques and their applications to modern quantitative finance
The next Quant Bootcamp starts on July 7
Animations, Code, and Mathematics for Deeper Learning
What you will Learn
A complete, advanced curriculum presented in unified mathematical notation
Advanced Data Science
Quantitative Finance
How you will Learn
With our Instructors, or Self-paced
With our Instructors
Quant Marathon
Multi-course/semester, part-time, in-depth,
online program with our instructors
Self-paced
Lab
E-Textbook
Interactive Complementary Learning Resources
Why ARPM?
ARPM has the Lab.
Most programs rely on a selection of pre-existing textbooks.
The Lab is specifically designed to be the complete study resource for our curriculum.
The Lab features
- A unique approach to:
- Data Science — the “mean-covarariance vs. probabilistic map”
- Quantitative Finance — the “10-step Checklist”
- A broad curriculum:
- Multi-channel e-textbook with 3,500 pages of theory cross-referenced to code, and other learning resources
- Presented in unified mathematical notation
Our Stats
2,068 pages
E-Textbook
Overarching notation across Data Science and Quantitative Finance
71,096 lines
Python Code
All case studies and examples implemented on Jupyter Lab, no installation required
1,894 alumni
Students
Quant Bootcamp-ers and Quant Marathon-ers, since 2009
Testimonials
"I liked the number of topics that were covered and the depth along with the documentation support for each of these topics..." see more
Tejus Setlur
Quantitative Analyst
"The structure of the course is well thought out, with a mix of theory sessions and then applicable case studies where we could apply the theory in practice..." see more
Simon Kanani
Quantitative Data Analyst / Developer
"The Bootcamp is great challenge (learning a lot of new concepts) and quizzes designed to test understanding..." see more
Emlyn Flint
Derivatives & Quant Researcher
"I liked very much the scope and the clarity of complex topics. Also the alignment of notation and definitions of so many topics is impressive..." see more
Stephan Krushev
Data Scientist
"I liked the breadth of the arguments that are presented and also how in-depth they are discussed..." see more
Alessandro Pogliani
Quantitative Trader
"Practice sessions were nice and guests, and of course the lab is very well done!..." see more
Federico Ron
Multi-Assets Quantitative Analyst
"Hi, I took the ARPM Quant Marathon in 2019, lasting one year and I can share with you my personal experience. First of all, I can confirm that it is really worth it...." see more
Daniele Pennesi
Portfolio Manager