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 Marathon starts on February 16
Beyond-master online program: 1-year, multi-course, in-depth
Structured curriculum with live classes, support, and certification path
The next Quant Bootcamp starts on July 13 at New York University
Animations, Code, and Mathematics for Deeper Learning
What you will Learn
A complete, beyond master’s level curriculum that delivers unified understanding of statistics/AI and its applications across quantitative finance.
No gaps, no overlaps
Advanced Data Science
Quantitative Finance
How you will Learn
Two complementary programs on the same advanced curriculum:
- the Quant Bootcamp – an intense overview bootcamp
- the Quant Marathon – a deep, one-year beyond-master program
Quant Bootcamp
4+2-day, full-immersion, overview course
at New York University/streaming
Quant Marathon
Multi-course, one-year, in-depth,
beyond-master program, taught remotely
Why ARPM?
Most programs rely on a selection of pre-existing textbooks.
ARPM has the Lab, a 3,500-page e-textbook, with code and
additional resources, built and constantly updated to cover our
advanced curriculum
E-Textbook
The Lab delivers deep understanding via a unified, succinct, mathematical language
beyond master’s level, matched by code.
The Lab is organized into two parts:
- The “Mean-covariance & Probabilistic Map” – a framework for organizing all of Data Science
- The “10-step Checklist” – a framework for organizing the entire field of Quantitative Finance
You can subscribe to the Lab and pursue independently the Certification in Advanced Statistics for Finance, which is otherwise granted upon completion of the Quant Marathon.
Next?
Once you have achieved the Certification in Advanced Statistics for Finance, either with the Quant
Marathon or by studying independently, you will have lifetime access to the Lab.
All you need to do is maintain 40+ hours/year of Lab activity.
Our Stats
2,068 pages
E-Textbook
Overarching notation across Data Science and Quantitative Finance
68,537 lines
Python Code
All case studies and examples implemented on Jupyter Lab, no installation required
1,861 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