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  • Quant Bootcamp
    • Quant Bootcamp

      The Quant Bootcamp is the most comprehensive overview course in Advanced Data Science and Quantitative Finance.

      You can attend onsite or live streaming.

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      4+2 days, comprehensive curriculum + world-renowned guest speakers

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      Alumni's voices about the Quant Bootcamp

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  • Quant Marathon
    • Quant Marathon

      The Quant Marathon is the most advanced program in Data Science and Quantitative Finance.

      You can follow the whole program or individual courses.

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      7 courses over one year

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      All-encompassing, mutually exclusive, in-depth

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      Watch Info Session

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  • Lab
    • Lab

    • Overview
      Multi-channel E-textbook on Advanced Data Science and Quantitative Finance

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

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

      Primers
      Mathematics, Finance and Python

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  • Certification
    • Certification

      Financial institutions worldwide trust the ARPM Certification as a benchmark for the advancement of their in-house talent.

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      ARPM Certification

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      Guidelines for the projects requested to achieve the ARPM Certification

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ARPM LLC
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 certification 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
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
Financial Engineering Financial Engineering
Present value and future random payoff of individual instruments
Probabilistic Machine Learning Probabilistic Machine Learning
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
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
Linear/probabilistic statistics and decision theory for estimation/sequential decisions
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.

 
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