Why the Quant Marathon?

Lab

Marathoners have access to the ARPM Lab , our online platform that contains all of the study/practice materials for all the topics across multiple interconnected learning channels:

Instructors

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.

Til Schuermann

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

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.

Tai-Ho Wang

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

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 Quant 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.

Stu Kozola

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.

Sophie King

Sophie King

ARPM Researcher

Sophie King is a researcher at ARPM, where she develops and delivers course materials, with a focus on straightforward communication. Sophie earned a Bachelor of Science in Mathematics from the Australian National University and a Master of Applied Statistics from Macquarie University. Her prior experience includes 7 years of statistical modeling in the insurance and marketing industries..

Milena Kojić

Milena Kojić

ARPM Researcher

Milena Kojić is a researcher and lead of the Data Visualization Center at ARPM. She received a Ph.D. in Stochastic optimization, M.S. in Applied Mathematics, and a B.S. in Financial Mathematics at the Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia. Her research interests revolve around numerical optimization, data mining, and statistical/mathematical modeling. Prior to ARPM, Milena has more than 8 years of experience in university-level teaching and research. She is co-founder of the R-ladies Novi Sad group which is a part of R-ladies’ global community.

Support

Marathoners are intensively supported by a Virtual Classroom with

  • Flipped classroom lectures with breakout sessions (for Team delivery mode)
  • 150 hours of recorded lectures
  • 24 hour Q&A forum for theory and code questions
  • Human-graded homework assignments
  • Networking e-Café/chat with a group of like-minded attendees
  • Personal trainer's reminders
  • Detailed progress tracking

Additional support channels are available at all times for Marathoners regarding information about the Virtual classroom, logistics of the program, clarifications about the contents of any course, IT support, and individual path. Details are provided in the Virtual Classrooms.

Networking

Attend course and share live classes with participants from some of the top 10 Banks and Asset Managers worldwide, who chose the Quant Marathon for their Advanced Quantitative Corporate Program.

Certification

A Certificate of Completion is issued upon satisfactory completion of each core course:
  • Data Science Mathematics
  • Data Science Foundations
  • Data Science for Finance
  • Financial Engineering for Investment
  • Advanced Data Science
  • Quantitative Risk Management
  • Quantitative Portfolio Management

Further, the ARPM Quant Marathon prepares the participants for the examination-based comprehensive ARPM Certificate. The ARPM Certificate examinations are sold at a special price when purchased together with the Quant Marathon.

In addition, GARP certified FRMs earn 40 CPD credits upon completion of each Quant Marathon core course.

Lifelong learning

Upon attainment of the ARPM Certificate, you will be granted lifetime access to the ARPM Lab.

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