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    • Quant Marathon is a year-long, multi-course program offering a structured learning path in advanced data science and quantitative finance, with live classes and a certification track.

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    • The Lab is ARPM’s integrated e-textbook, unifying theory, code, case studies, and exercises in a single mathematical framework.

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      Mathematical Statistics for Finance, Linear Mean-Covariance Statistics, Probabilistic Machine Learning, Time Series and Sequential Decisions

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      Financial Engineering, Portfolio and Enterprise Risk Management, Portfolio Construction and Trading

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  • Certification
    • Certification in Probabilistic Finance validates advanced quantitative proficiency in data science, risk management, and portfolio construction.

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Certification in Probabilistic Finance

Advanced Data Science, Quantitative Risk Management & Portfolio Construction

Next practical project exam date June 20, 2026
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Certification - Overview

The Certification in Probabilistic Finance 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 Certification in Probabilistic Finance as a benchmark for the advancement of their in-house talent.

To attain the Certification in Probabilistic Finance, the candidate must

  • complete eighty hours of active learning for each of the topics of the Lab. The ARPM platform tracks the active time spent across theory, code, slides and animations for each topic in the Lab, indicated by the teal dot in our system
    Teal dot
    Dot: when teal, it's tracking your activity
  • complete two code-based certification practical exams, assessing applied skills in Data Science and Quantitative Finance.

The Certification in Probabilistic Finance 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
Present value and future 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 Certification in Probabilistic Finance can be prepared independently by working through the ARPM Lab, or via assisted instruction in the Quant Marathon.
Certification holders enjoy lifetime access to the ARPM Lab.

 
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