ARPM Bootcamp®

Bootcamp

Intensive training on data science for finance, quantitative risk modeling and portfolio construction

New York, August 10 - 16 2020

Bootcamp Quant Tour Marathon
Topics Data Science
for Finance
Financial Engineering
for Investment
Quantititative Risk
Menagement
Quantitative Portfolio
Menagement
Lab iconVideo lectures iconTheory iconCase studies iconData animations
iconCode iconDocumentation iconSlides iconExercises
Depth Big picture Understanding Deep knowledge
Location Onsite NY Online Online
Modularity 1 course 1 course 4 courses
When Aug 15-20 Anytime Starts Feb 1|Sep1
Length 6 days 3 months 1-4 semesters
Intensity Full time Part time Part time
Guidance Live instructor - Live instructor
- 30hrs recorded lectures 150hrs recorded lectures
24hr Q&A service 24hr Q&A service 24hr Q&A service
- - Hand-graded homework
- Progress stats Progress stats
Networking Large class - Small class + Alumni

Overview

The Advanced Risk and Portfolio Management (ARPM) Bootcamp is an intense training that:

  • Provides a broad overview of modern quantitative finance, across asset management, banking and insurance
  • Enables understanding of inter-relationships between topics across theory and implementation
In operation since 2007, the ARPM Bootcamp has thousands of Alumni from around the world, including industry leaders and academics.

Instruction and Delivery

The ARPM Bootcamp is delivered on the ARPM Lab.

The program includes the most advanced quantitative techniques in:

Data science and machine learning
Market modeling
Factor modeling
Portfolio construction

Algorithmic trading
Investment risk management
Liquidity modeling
Enterprise risk management

You obtain access to:
  • 6-day ARPM Bootcamp live onsite in New York:
    • lectures
    • review sessions
    • networking events
    • Q&A Forum
  • ARPM Lab Lean: theory, case studies, data animations, code, documentation, slides, exercises

The program is constantly updated and gets richer year after year.

Upon successful completion of the course, you will be able to:

  • Correctly map all the techniques covered in the course onto a unified theoretical framework, appreciating the interconnections, and gaining a fresh perspective on the known techniques
  • Interact with your classmates (and with the ARPM community) using a common language and notation
  • Navigate the ARPM Lab to find detailed reference material to deepen your knowledge of the topics covered by the course, and more

Practice

The ARPM Lab contains all the support materials to learn and practice the concepts covered during the lectures:

Certification

A Certificate of Completion is issued upon successful completion of the ARPM Bootcamp, based on:
  • Physical presence (onsite)
Upon successful completion of the training, attendees are also granted:
  • 40 GARP CPD
  • Academic credits at partner universities

Discount

Group and affiliate discounts are available.
We work with partner universities for joint delivery of the ARPM Bootcamp. See here for the list of partner Universities.
Contact us for more information.

Networking

The ARPM Bootcamp provides multiple networking opportunities:
  • Virtual Classroom: online venue to socialize with fellow Bootcampers and ARPM instructors
  • Social Mixer: an informal gathering to mingle, chat, play, share memories, and take photos in our booth
  • Guest speakers: meet in person the top quants in the industry

Past guests include

Attilio Meucci

Attilio Meucci

Javier Peña

Javier Peña

Til Schuermann

Ugur Koyluoglu

Robert
Almgren

Peter
Carr

Emanuel
Derman

Bruno
Dupire

Jim
Gatheral

Alexander
Lipton

Bob
Litterman

Bob
Litzenberger

Andrew
Lo

Dilip
Madan

Fabio
Mercurio

Til
Schuermann

Steven
Shreve

Sign up for the ARPM Bootcamp

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Testimonials

Our thousands of Alumni include senior executives from world-renowned banks such as Goldman Sachs and Morgan Stanley, funds such as BlackRock, Two Sigma and AQR, and a wide range of other professionals and academics with different backgrounds.

Venue

Fordham University Lincoln Center
113 W 60th St, New York, NY 10023

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