ARPM Marathon
In collaboration with Oliver Wyman

ARPM Marathon - In collaboration with Oliver Wyman

In-depth, Master-level Online Program in Modern Quantitative Finance

Key Facts

Master-level program in modern quantitative finance

✓ 4 core courses (120 hours)
✓ 3 refreshers (Math/Python/MATLAB - 25 hours)
✓ All courses delivered online every quarter
✓ Access to the ARPM Lab
✓ Customized itinerary via an information session
✓ Live flipped classroom with instructors
✓ Private Q&A forum
✓ Homework assignments and grading
✓ Personal trainer’s reminders
✓ GARP CPD & CFA Institute CE
✓ Certificate of Completion

ARPM Marathon


The Advanced Risk and Portfolio Management (ARPM) Marathon is a master-level program that:

  • Provides in-depth training across all fields of modern quantitative finance, across asset management, banking and insurance
  • Enables mastery of topics across theory and implementation and the ability to create models anew


The ARPM Marathon 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

To ensure a balanced mix of theory and applications, the curriculum is best taught through four all-encompassing, mutually exclusive, core learning modules that cover all the topics of the ARPM Lab.

Refreshers are also offered to brush up on the basic concepts.

Participants can choose to attend one or more of the courses.


All the core courses of the ARPM Marathon include access to the ARPM Lab.

The ARPM Lab contains the study materials to learn and practice all the concepts introduced during the lectures.


During the Marathon we provide:
  • Itinerary customization
  • Weekly live classroom with instructors
  • Answers to questions in private forum
  • Homework grading
  • Personal trainer's reminders


A Certificate of Completion is issued upon successful completion of every core course, based on:
  • Forum Q&A participation
  • Live classroom participation
  • Homework
Upon successful completion of each core course, attendees are also granted:
  • 40 GARP CPD
  • Academic credits at partner universities
Further, the ARPM Marathon prepares the participants for the ARPM Certificate.


Group and affiliate discounts are available. We deliver the ARPM Marathon to corporates to suit their requirements. We, also, work with partner universities for joint delivery of the ARPM Marathon.
Contact us for more information.

Instructors and Guests

Attilio Meucci

Attilio Meucci

ARPM Founder

Attilio Meucci is the founder of ARPM - Advanced Risk and Portfolio Management. Prior to ARPM, Attilio was the chief risk officer at KKR; and the global head of research for Bloomberg’s risk and portfolio analytics platform. Attilio has taught at Columbia-IEOR, NYU-Courant (New York), Bocconi University (Milan), and NUS-Business School (Singapore). Attilio earned a BA summa cum laude in Physics from the University of Milan, an MA in Economics from Bocconi University, a PhD in Mathematics from the University of Milan and is a CFA charterholder.

Javier Peña

Javier Peña

Professor at Carnegie Mellon University

Javier Peña is a full professor of operations research at Carnegie Mellon University. He teaches Financial Optimization and Asset Management in the Masters of Computational Finance program at Carnegie Mellon University. He is the co-author of the upcoming second edition of the textbook "Optimization Methods in Finance". His research interests span all aspects of optimization with a particular interest in optimization models for portfolio management and for data science. Javier has published his research in a variety of outlets including Quantitative Finance, the Journal of Risk, and Mathematics of Operations Research.

Tai-Ho Wang

Professor at Baruch College

Tai-Ho Wang is a full professor in mathematics at Baruch College, City University of New York. He is one of the core instructors in Baruch's MFE program, where he teaches Probability and Stochastic Processes in Finance and Probability Theory for Financial Applications in the PreMFE seminars. His research in quantitative finance specializes in implied volatility modeling, exotic option pricing, optimal execution in market impact models, and information dynamics in financial market.

Angela Loregian

ARPM Researcher

Angela Loregian is a senior researcher at ARPM, where she has contributed since inception to the creation of the ARPM Lab. In her previous academic career Angela has published on theory and applications of thick tailed processes in asset management. Angela runs research seminars and webinars for ARPM worldwide, including within the ARPM Bootcamp, ARPM's flagship event. Angela earned a Ph.D. in Mathematics for financial market analysis, an M.S. in Economics and Finance, and a B.S. in Economics from the University of Milano-Bicocca.

Til Schuermann

Partner at Oliver Wyman

Til Schuermann advises private and public sector clients on stress testing, capital planning, enterprise-wide risk management, model risk management and corporate governance including board oversight. Before joining Oliver Wyman, Til was a Senior Vice President at the Federal Reserve Bank of New York where he was head of Financial Intermediation in Research and head of Credit Risk in Bank Supervision. Til has numerous publications in both academic and practitioner journals, and has taught at Columbia University and at the Wharton School where he is a Research Fellow. Til received a Ph.D. in Economics from the University of Pennsylvania.

Ugur Koyluoglu

Partner at Oliver Wyman

Ugur Koyluoglu leads the Americas Finance & Risk and Public Policy practices at Oliver Wyman. Ugur has served as a consultant to senior executives at some of the largest banks, clearing and settlement houses, asset managers, multi-lateral development banks, and private equity houses around the world. Before joining Oliver Wyman, Ugur taught applied mathematics and engineering at Princeton and Koc Universities. He holds a PhD in Civil Engineering and Operations Research from Princeton University.

Stu Kozola

Head of product management at MathWorks

Stu Kozola leads product management for Computational Finance and FinTech at MathWorks. He has over 15 years of experience in data analytics, quantitative finance, simulation, and designing and implementing large-scale computational system. Stu holds the FRM designation from GARP and an MBA from Carnegie Mellon University.

Xiang Shi

ARPM Researcher

Xiang Shi is senior researcher at ARPM, where he contributed to the development of the ARPM Lab, focusing on dynamic portfolio strategies and machine learning. Prior, Xiang was part of the risk team at KKR and taught at Stony Brook University. Xiang earned a MSc in mathematics and finance from Imperial College London, and a PhD in quantitative finance from Stony Brook University.

Sign up for the ARPM Marathon



Hundreds of financial institutions worldwide have trusted ARPM with the education and the growth of their talent pool.

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