Quant Bootcamp
4+2-day, full-immersion, overview course at New York University/streaming
Training in Machine Learning for Quantitative Finance
ARPM builds advanced statistical competence to work in modern financial engineering, risk management and quantitative investment
The next Certification Program starts on September 23
Beyond-master online program: 5+5-month, 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
Lab: Animations, Code, and Mathematics for Deeper Learning
What you will Learn
A complete, beyond master’s level curriculum that delivers unified understanding of Machine Learning and its applications to Financial Engineering, Risk Management and Quantitative Investment No gaps, no overlaps
Machine Learning
Quantitative Finance
How you will Learn
One advanced curriculum, three complementary ways to learn
Certification Program
Multi-course, 5+5-month, in-depth, beyond-master program, with certification, remotely
Starts September 23
Lab
Interactive e-learning platform with theory, code, animations, and an AI personal trainer
Always available
Why ARPM?
Only ARPM has the Lab, a 4,000-page e-textbook on machine learning and its applications across all of quantitative finance, with code, animations, and an AI tutor, learn more.
E-Textbook
- No gaps, no overlaps. Most programs are taught on a collection of scattered references, with conflicting notation, overlapping topics and gaps. The Lab is written in succinct, unified, mathematical language and constantly updated for inclusiveness and consistency.
-
Principles first.
Innovation in AI is chaotic and relentless: to remain competitive you need to understand the core
principles behind any new techniques. The Lab is structured around
- The “Machine Learning Ecosystem" – a framework for organizing all of Machine Learning from the simplest principles to the most advanced innovations, learn more.
- The “10-Step Checklist of Finance” – a framework for organizing the entire fields of Financial Engineering, Risk Management and Quantitative Investment, learn more.
Our Stats
5,000+ alumni
Quant Bootcamp-ers and Certification Program-ers, since 2009
100,000+ Lab code lines
All case studies and examples implemented on Jupyter Lab, no installation required
3,500+ Lab pages
Overarching notation across Machine Learning and Quantitative Finance
Testimonials
These professionals chose ARPM for team upskilling. While company policy restricts official endorsements, they are happy to provide personal references upon request. All views expressed are their own and do not necessarily reflect those of their employers.
"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