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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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      Alumni's voices about the Quant Marathon

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    • Watch Info Session
  • 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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    • Data Science
    • Quant Finance
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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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Learn Advanced Data Science applied to Quantitative Finance

ARPM trains finance professionals and graduate students with strong mathematical foundations in advanced statistical techniques and their applications to modern quantitative finance

The next Quant Marathon starts on February 16

Beyond-master online program: 1-year, multi-course, in-depth

Structured curriculum with live classes, support, and certification path

learn more

The next Quant Bootcamp starts on July 13

World-renowned guest speakers

Hundreds of quants from top financial firms

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Animations, Code, and Mathematics for Deeper Learning

Animations: to boost intuition

Mathematics: for deeper learning

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What you will Learn

A complete, advanced curriculum presented in unified mathematical notation

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
Mathematics Primer Mathematics Primer
Functional analysis, optimization theory, probability
Finance Primer Finance Primer
Asset classes fundamentals, performance definitions
Python Primer Python Primer
Syntax, data types, structures, functions

How you will Learn

With our Instructors, or Self-paced

With our Instructors

Quant Bootcamp

4+2-day, full-immersion, overview course
at NYU/streaming

Starts July 13
Learn more
Quant Bootcamp presentation

Quant Marathon

Multi-course/semester, part-time, in-depth,
online program with our instructors

Starts February 16
Learn more
Quant Marathon presentation

Self-paced

Lab

E-Textbook

Theory icon 2,068 pages
Theory Mathematical formalism, for faster learning
Case studies icon 19 cases
Case studies Applications, for deeper learning

Interactive Complementary Learning Resources

Code icon 68,720 lines
Code Learn by doing, no installation
Animations icon 198 clips
Animations Intuition in motion
Slides icon 2,939 slides
Slides Summary of all key items
Proofs icon 1,861 proofs
Proofs Don't believe, verify
Exercises icon 200 exercises
Exercises Code based and analytical

Why ARPM?

ARPM has the Lab.
Most programs rely on a selection of pre-existing textbooks.
The Lab is specifically designed to be the complete study resource for our curriculum.

The Lab features

  • A unique approach to:
    • Data Science — the “mean-covariance vs. probabilistic map”
    • Quantitative Finance — the “10-step Checklist”
  • A broad curriculum:
    • Multi-channel e-textbook with 3,500 pages of theory cross-referenced to code, and other learning resources
    • Presented in unified mathematical notation

Our Stats

2,068 pages

E-Textbook

Overarching notation across Data Science and Quantitative Finance

68,720 lines

Python Code

All case studies and examples implemented on Jupyter Lab, no installation required

1,861 alumni

Students

Quant Bootcamp-ers and Quant Marathon-ers, since 2009

Testimonials

"I liked the number of topics that were covered and the depth along with the documentation support for each of these topics..." see more

Tejus Setlur

Quantitative Analyst

"The structure of the course is well thought out, with a mix of theory sessions and then applicable case studies where we could apply the theory in practice..." see more

Simon Kanani

Quantitative Data Analyst / Developer

"The Bootcamp is great challenge (learning a lot of new concepts) and quizzes designed to test understanding..." see more

Emlyn Flint

Derivatives & Quant Researcher

"I liked very much the scope and the clarity of complex topics. Also the alignment of notation and definitions of so many topics is impressive..." see more

Stephan Krushev

Data Scientist

"I liked the breadth of the arguments that are presented and also how in-depth they are discussed..." see more

Alessandro Pogliani

Quantitative Trader

"Practice sessions were nice and guests, and of course the lab is very well done!..." see more

Federico Ron

Multi-Assets Quantitative Analyst

"Hi, I took the ARPM Quant Marathon in 2019, lasting one year and I can share with you my personal experience. First of all, I can confirm that it is really worth it...." see more

Daniele Pennesi

Portfolio Manager

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