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  • Quant Bootcamp

    • Quant Bootcamp is a 4+2-day intensive program in Machine Learning for quantitative finance, combining expert instruction with professional networking.

    • Reviews
      Alumni's voices about the Quant Bootcamp

      Info/FAQs

      Enroll

    • Overview
    • Reviews
    • Info/FAQs
    • Enroll
  • Certification Program

    • Certification Program is a 5+5-month long, multi-course program offering a structured learning path in Machine Learning and quantitative finance, with live classes and a certification track.

    • Courses
      All-encompassing, mutually exclusive, in-depth

      Reviews
      Alumni's voices about the Certification Program

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    • Courses
    • Reviews
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  • Lab/Study materials

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

    • Machine Learning
      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

      Enroll

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    • Machine Learning
    • Quant Finance
    • Primers
    • Enroll
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Quant Bootcamp presentation

Quant Bootcamp

6-day Intensive Training in
Machine Learning for Finance
NYU onsite/Live streaming July 13, 2026
Join Info Session

Quant Bootcamp

6-day Intensive Training in
Machine Learning for Finance

NYU onsite/Live streaming July 13, 2026
Join Info Session

Quant Bootcamp - Enroll

Your price:

Flexible payment plan

Lectures - In person onsite
Jul 13-16
Guests Speakers - In person onsite
Jul 13-16
Networking - In person onsite
Jul 13-16
Lectures - Recorded and Live streaming
Jul 13-16 and 23-24
Guests Speakers - Recorded and Live streaming
Jul 13-16 and 23-24
Networking - E-lounge
Jul 13-17 and 23-24
Lab with all study materials
Jul 1 - Aug 31
Q&A Forum
Jul 1 - Aug 31

(*) Not all guest lectures are recorded

Refund policy

 
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