Advanced Risk and ℙortfolio Management®
Certification
Two code-based projects to prove proficiency in
Advanced Data Science and Quantitative Finance
ARPM Certification - Overview
The ARPM Certification demonstrates broad and deep proficiency in advanced data science, quantitative risk management, portfolio construction, and their applications across asset management, banking and insurance.
Financial institutions worldwide trust the ARPM Certification as a benchmark for the advancement of their in-house talent.
To attain the ARPM Certification, the candidate must
- complete eighty hours of active learning (*) for each of the topics of the Lab
- complete two code-based practical projects
The Data Science Practical Project and the Quantitative Finance Practical Project assess the candidate’s knowledge, coding and communication skills on the below topics respectively:
Advanced Data Science
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
Analytically tractable foundations of advanced AI
Static, causal, advanced AI modeling
Dynamic, causal, advanced AI modeling
Quantitative Finance
Value and random payoff of individual instruments
Risk measures, performance attribution, (stochastic) stress-testing
Static and dynamic strategies with optimal trade execution
The ARPM Certification can be prepared independently by working through the
ARPM Lab, or via assisted instruction in the
Quant Bootcamp or the
Quant Marathon.
ARPM Certification holders enjoy
lifetime access to the ARPM Lab.