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Advanced Risk and ℙortfolio Management®
Certification

Two code-based projects to prove proficiency in
Advanced Data Science and Quantitative Finance

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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
(*) as measured by ARPM's platform

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

Quantitative Finance

Mathematical Statistics for Finance Mathematical Statistics for Finance
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
Linear Mean-Covariance Statistics Linear Mean-Covariance Statistics
Analytically tractable foundations of advanced AI
Financial Engineering Financial Engineering
Value and random payoff of individual instruments
Probabilistic Machine Learning Probabilistic Machine Learning
Static, causal, advanced AI modeling
Portfolio and Enterprise Risk Management Portfolio and Enterprise Risk Management
Risk measures, performance attribution, (stochastic) stress-testing
Time Series and Sequential Decisions Time Series and Sequential Decisions
Dynamic, causal, advanced AI modeling
Portfolio Construction and Trading Portfolio Construction and Trading
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.