Brian Ertley
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Quantitative Research, Portfolio & Risk Management
“A vast wealth of material… quite unified across the program.”
Become a Quant Professional
5-Month Part-Time Quantitative Finance Program
ARPM Statement of Completion included
$7,300
$2,555
Early Bird Registration
65% OFF
CAREER
Accelerate Your Quant Career
Build the quantitative finance foundations to move from a technical background into quantitative finance.
Mathematical Background
Advanced ML Toolkit
Quant Professional
BACKGROUND
Investment Analyst
TARGET ROLE
Quant Portfolio Manager
BACKGROUND
Software Engineer
TARGET ROLE
ML Engineer for Finance
BACKGROUND
Risk Associate
TARGET ROLE
Quant Risk Manager
BACKGROUND
Data Analyst
TARGET ROLE
Financial Data Scientist
PROGRAM
A Practical 5-Month Learning Journey
The Quantitative Finance Track delivers a unified framework connecting mathematical foundations, modern QF techniques, and real-world financial applications.
Starts February 15
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FEB · 15/02/27
Financial Engineering -
APR · 05/04/27
Portfolio and Enterprise Risk Management -
MAY · 17/05/27
Portfolio Construction and Trading
Curriculum Overview
3 ADVANCED COURSES
Included Primer
Free Primers included for preparation (Math, Finance, Python) to
refresh the required foundations.
3 Advanced Courses
Built on one unified mathematical framework specifically for quantitative finance.
Live & Recorded
Join live interactive sessions or learn at your own pace with high-quality recordings.
Human-Reviewed Homework
Practical assignments reviewed with expert feedback to ensure deep understanding.
Q&A / Advisor Support
Direct guidance throughout the journey from ARPM faculty and specialized advisors.
ARPM METHOD
One framework. From statistical foundations to financial decisions.
The ARPM Quantitative Finance Track follows an integrated path connecting mathematical rigor, probabilistic thinking, and real-world financial applications.
Integrated Framework
From statistical inference and estimation to probabilistic ML and sequential decision-making.
Statistical & Probabilistic Foundations
Understand assumptions, estimation methods, uncertainty and model limitations.
Quantitative Finance
Apply the methods throughout to financial data and quantitative-finance problems.
Theory to Implementation
Connect mathematical models to numerical implementation through Python and the ARPM Lab.
ARPM Quantitative Finance vs. General-Purpose Finance Courses
STRUCTURE
Integrated progression from statistics and estimation to probabilistic ML and sequential
decisions.
Broad focus across standard quantitative finance methods.
FOUNDATIONS
Statistical inference, probability, estimation and model assumptions.
Often centered on model use and implementation.
DATA & CONTEXT
Financial data and quantitative-finance applications.
General-purpose datasets and applications.
OBJECTIVE
Understand models, uncertainty, estimation and decision-making.
Build and apply predictive models.
REQUIREMENTS
Program Requirements
The Quantitative Finance Track is mathematically rigorous. These guidelines help you assess your background and plan the right preparation to benefit fully from the program.
Mathematics
Linear algebra and multivariate calculus.
Statistics
Solid understanding of probability theory.
Programming
Python experience helps, but the Python Primer is included.
Finance
Finance experience helps, but the Finance Primer is included.
Free Primers Included
Free self-paced primers help you refresh and strengthen your foundations before and during the program.
Math Primer
Refresh core math concepts.
Finance Primer
Review key finance concepts.
Python Primer
Build Python skills for quantitative work.
Have questions about your background or preparation?
Talk to an AdvisorWHY ARPM
Built for depth, not shortcuts.
ARPM was founded by Attilio Meucci and is built around decades of experience in quantitative investment, risk management and research.
Founded by Attilio Meucci
Attilio Meucci is the founder of ARPM, author of Risk and Asset Allocation, and a former senior quantitative investment and risk practitioner.
Former CRO at KKR
Former CRO & Director of Portfolio Construction at Kepos Capital
Author of "Risk and Asset Allocation"
Springer · publications in leading journals
Creator of the ARPM Lab
Theory, implementation and applications
Professionals from leading institutions have trained with ARPM
What ARPM participants say
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Natasha Gregory
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VP · Risk & Quantitative Analytics
“The strong theoretical material, flexibility, Lab and live classroom sessions really stand out.”
Jiajie Dai
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Counterparty Credit Risk
“The two main advantages are the theory materials and the Python code.”
Watch more video reviews and read participant experiences.
See all reviews (opens in a new tab)OFFER
Limited-Time Offer
$7,300
$2,555
65% OFF
Ends September 27
Secure enrollment
ARPM Statement of Completion included
FAQ
Frequently Asked Questions
What is the ARPM Quantitative Finance Track?
The Quantitative Finance Track is a 5-month, part-time advanced learning program focused on the mathematical and probabilistic foundations of finance and their applications to financial markets. It includes three courses: Financial Engineering, Portfolio and Enterprise Risk Management, and Portfolio Construction and Trading.
Do I receive a certification after completing the Track?
No. The Quantitative Finance Track is not a professional certification on its own. Participants who successfully complete the program receive an ARPM Statement of Completion documenting the courses completed.
How is this different from a generic Finance course or MOOC?
The program does not teach quantitative finance as a collection of isolated models. It develops a rigorous progression from financial engineering to portfolio and risk management, and portfolio construction and trading, with applications throughout to financial data.
Who is this program designed for?
The Track is designed for quantitative professionals and advanced learners, including quant researchers, risk managers, asset managers, financial engineers, and graduate students with a strong mathematical background who want a deeper understanding of quantitative finance.
Is the ARPM Quant Bootcamp the same as the Quantitative Finance Track?
No. The Quant Bootcamp is a short, intensive introduction to key ARPM methodologies. The Quantitative Finance Track is a structured 5-month program that develops the subjects in substantially greater depth through three advanced courses, assignments, learning resources, and ongoing support.
How much mathematics is required?
You should be comfortable with linear algebra, multivariate calculus, and probability. The program is mathematically rigorous. ARPM Primers are available to review the required foundations if needed.
How much programming is required?
Python experience is helpful, but you do not need to be a professional software developer. Python is used to connect the mathematical concepts to numerical implementations and applied examples through the ARPM Lab.
Does the program focus mainly on implementing financial models?
No. Implementation is an important part of the program, but the main objective is to understand the models themselves: their assumptions, mathematical foundations, estimation methods, limitations, and relationships with other approaches.
What Quantitative Finance topics are covered?
Topics include functional analysis, optimization theory, probability, multivariate statistics, linear factor models, high-dimensional estimation, supervised, unsupervised and causal learning with high-dimensional financial data.
Can I study while working full-time?
Yes. The Track is designed as a part-time program for working professionals. Live sessions are recorded, and participants can combine the structured learning path with a full-time job while dedicating regular time each week to study and assignments.
How long does the Quantitative Finance Track take to complete?
The program runs for approximately 5-months and consists of three advanced courses studied as a structured learning sequence.
What support is available?
Participants have access to the ARPM learning platform and Lab, AI Tutor support, technical assistance, course resources, and human feedback on homework projects and assignments.
What if I am not sure whether my background is suitable?
Contact us before enrolling. An ARPM advisor can help you assess whether your mathematical background, professional goals, and available study time are appropriate for the Quantitative Finance Track.