About this online course

Overview

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Course video

Acquire cutting-edge knowledge and skills in a flexible and inspiring way!

This unique online course is for ambitious risk professionals, consultants and managers eager to master the most important models of credit risk management, and to understand and discuss the always-changing regulatory framework.

The 10-week online course comprises four modules that offer an effective blend of theory and practice to make it challenging and valuable for your work. With the knowledge and experience gained, you will be able to advance your current work tasks and support your future professional development in the field.

Course Highlights
  • Discussion of current and future regulatory frameworks concerning credit risk, from Basel II and III to IFRS 9
  • Review of the most relevant models for PD and LGD: from Moody's KMV to CreditMetrics, from logistic regression to survival analysis, with an emphasis on vital concepts like PIT and TTC estimates
  • Gain practical experience with accompanying learning modules created by Deloitte
  • Access course material 24/7, learn in the time that suits you
  • Interact and collaborate with other credit risk professionals from all over the world
  • Enjoy diverse learning materials including video lectures, readings, exercises and assignments
  • Attend (optional) local Live Chapter Meetings for live discussions and question opportunities with experts and fellow participants.
Learning Objectives
  • Gain knowledge about the latest regulatory developments, such as IFRS9, Basel III and the future "Basel IV".
  • Develop a more solid understanding of the mathematics behind credit risk modeling, which will help you to better understand the foundation of the formulas and models you regularly use.
  • Analyze the strengths and weaknesses of important credit risk models.
  • Work with model risk and error quantification.
  • Investigate the implications of dropping assumptions like Gaussianity.
  • Explore open questions like small sample corrections and dependence modeling.
Sample video lectures


Watch sample video lectures from this course to learn more about teaching style and topics:

Quotes on this course

"A great experience for everyone dealing with credit risk management and who wants to advance their knowledge in that field." - Model developer (Dutch Tier-1 bank)

"For me, this was a great experience and I believe I learned a lot, I truly enjoyed the course. The lectures were so nice and also additional materials were useful." - Model validator (Dutch Tier-2 bank)


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Details

The course is delivered over a ten-week period, but you may take twenty additional weeks to complete all the assignments at your own pace. The course will provide the following:

  • 4 modules covering more than 20 topic areas with an estimated workload of 4-6 hours per week
  • Quizzes, exams and final assignment assessments to reinforce key learning concepts
  • A business view on credit risk and the opportunity to put theory into practice in lectures provided by Deloitte
  • Discussion forums to discuss thought provoking questions about credit risk
  • Downloadable course material
  • Course material remains accessible after ending the course
Who should participate?

Anyone who is ambitious enough to seek a higher level of competence when dealing with credit risk. Participants may include:

  • Credit risk professionals and managers who would like to understand what lies behind the formulas and models they use on a daily basis.
  • Risk professionals who would like to increase their understanding of credit risk.
Prerequisites

Knowledge of basic risk management. Statistics and probability at university level (upper bachelor level). For those needing revisions, links to external resources will be provided. Professional business experience is a plus. During the course, codes and examples will be developed using the R language (freely downloadable), but participants are free to use their preferred language.

Instructors

Dr. Pasquale Cirillo delivers the academic part of the course. He is a risk expert from the Department of Applied Mathematics at the Delft University of Technology (TU Delft), coordinator of the financial engineering specialization and experienced statistical consultant for major companies and institutions. Credit risk practitioners from Deloitte share knowledge on credit risk in practice to ensure the course is relevant for the industry.

Qualifications

By completing this course you will earn a professional education certificate from TU Delft. With this certificate you are eligible to receive 4.0 Continuing Education Units (CEUs).

Admission

Prerequisites:

Knowledge of basic risk management. Statistics and probability at university level (upper bachelor level). For those needing revisions, links to external resources will be provided. Professional business experience is a plus.

Contact

If you have any questions about this course or the TU Delft online learning environment, please visit our Help & Support page.

Enroll now

  • Start date
    Jan 30, 2019
  • Admission Deadline
    Jan 23, 2019
  • Cost
    € 1500
  • Course length
    Self-Paced
  • Estimated effort
    40 - 60 hours
  • Course code
    AdvCRM1x

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