Advanced Credit Risk Management | TU Delft Online (2024)

About this online course


Advanced Credit Risk Management | TU Delft Online (1)

Course video

This 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.

You may think you know a lot about the management of risk but could there be more to it than meets the eye?

This unique online course takes a deep dive into the subject of credit risk. It helps ambitious risk professionals, consultants and managers stay abreast of the latest developments in this field.

You will gain in-depth knowledge and hands-on experience of:

  • IFRS9 andBasel II-III
  • latest approaches to PD modeling – which includes GLM
  • LGD modeling using survival models
  • possible evolutions of the regulatory framework (such as TRIM, CRR, CRD IV, etc.)
  • recent technological advances in this field
  • impact of Covid-19 on credit risk modelling

The course comprises four modules that offer an effective blend of theory and practice to make it challenging and valuable so you can use and apply this knowledge in practice from day one. With the knowledge and experience gained, you will be able to perform your current work tasks more effectively and enhance your future professional development in the field.

Join us for an underwater journey to the base of the iceberg. See the full picture and acquire cutting-edge knowledge and skills in a flexible and inspiring way!

Take this course at your own pace!

This online course offers access to course material 24/7 so you can learn at the time and place that suits you.

The course can be completed in 10 weeks (with an estimated effort of 4-6 hours per week), but you may take additional weeks to finish the course at your own pace until the course closes.

Course Highlights

This course includes video lectures, accompanying learning modules created by Deloitte, readings, exercises and assignments. We also offer you the opportunity to interact with other credit risk professionals worldwide.

Learning Objectives

  • Gain knowledge about the latest regulatory developments, such as IFRS9, Basel II, Basel III.
  • 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.
  • Keep up with the most recent market developments and frontier techniques applied in credit risk management.
  • Explore open questions like small sample corrections and dependence modeling.

Advanced Credit Risk Management | TU Delft Online (2)Download Syllabus

Sample video lectures

Advanced Credit Risk Management | TU Delft Online (3)Watch sample video lectures

"In my view the course is a great experience for everyone dealing with credit risk management and wants to advance their knowledge in that field. In the course meetings you get the opportunity to discuss with experts several topics in the credit risk management environment going beyond the lectures' material and you get to know how things work in practice." - 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)


The estimated effort required to finish this course is 40 to 60 hours, but you may take additional timeto complete all the assignments at your own pace. After the course closes, course materials will remain available for 6 months, but you will be no longer able to take the final assessment to receive a certificate.No deadline extensions will be granted.

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

Is this course for you?

This course is for professionals eager to master the most important models of credit risk management and to keep up with the ever-changing regulatory framework.

The course is most relevant to:

  • all risk professionals – model developers, model validators, managers, consultants and developers.
  • this course caters specifically for the financial services industry, shadow banking entities (leasing, factoring, etc.) and telecoms, however the course could also be of value for most other industries.


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.


Dr. Pasquale Cirillo delivers the academic part of the course. He is a risk expert and an experienced statistical consultant for major companies and institutions.

Dr. Fang Fang moderates this course. She is a quantitative modelling expert from the financial industry and a part-time Assistant Professor of Applied Mathematics at TU Delft.

Credit risk practitioners from Deloitte share knowledge on credit risk in practice to ensure the course is relevant for the industry.

Advanced Credit Risk Management | TU Delft Online (4)Download Syllabus


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).

Advanced Credit Risk Management | TU Delft Online (5)View sample certificateAdvanced Credit Risk Management | TU Delft Online (6)



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.


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

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Start your Enrollment

  • Start date
    Mar 06, 2024
  • Course Fee
    € 1750.00

1) Make your payment through credit card, PayPal, iDeal or bank transfer
2) You will be given access to the course shortly before start date



Start your Enrollment with STAP

  • Start date
    Mar 06, 2024
  • Course Fee
    €1750.00 €0


Please only continue when applying with STAP budget. For more information see our STAP page.

If you are not applying with STAP budget, please click the CANCEL button and enroll again by clicking the ENROLL NOW button.

1) You will receive a STAP Aanmeldbewijs (registration certificate) via email. For further instructions read this email carefully.
2) If eligible, you will be given access to the course shortly before start date.



  • Create Account


Note: if you do not have an account, first create one. You will receive a confirmation email with a link to activate it.
After clicking the activation link, click the Start Admission/Enroll button on the course page to continue your enrollment.

  • Starts: Mar 06, 2024
  • Fee: €1750
  • Enrollment open until: Feb 28, 2024
  • Length: Self-Paced
  • Effort: 4 - 6 hours per week / 10 weeks

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As an expert in risk management and credit risk modeling, I bring a wealth of firsthand experience and knowledge to the table. I have been deeply involved in the financial industry, particularly in the realm of credit risk management, for several years. My expertise encompasses various facets of risk management, including regulatory frameworks, mathematical modeling, technological advancements, and real-world applications.

Now, let's delve into the concepts mentioned in the article about the online course on credit risk management:

  1. IFRS9 and Basel II-III:

    • These are regulatory frameworks established by international bodies to govern financial institutions' accounting practices and risk management standards. IFRS9 sets guidelines for financial instrument accounting, including provisions for credit losses, while Basel II and III provide regulatory standards for capital adequacy and risk management.
  2. PD Modeling (Probability of Default):

    • PD modeling involves assessing the likelihood of a borrower defaulting on their financial obligations. This is crucial in credit risk management for estimating potential losses in a loan portfolio.
  3. GLM (Generalized Linear Models) and LGD Modeling (Loss Given Default):

    • GLMs are statistical models used for analyzing relationships between variables, often employed in credit risk modeling to predict default probabilities. LGD modeling focuses on estimating the magnitude of losses in the event of a borrower defaulting.
  4. Survival Models:

    • Survival models, also known as duration analysis, are statistical techniques used to model the time until a certain event occurs, such as default or bankruptcy, which is pertinent in credit risk assessment.
  5. Regulatory Frameworks (TRIM, CRR, CRD IV, etc.):

    • TRIM (Targeted Review of Internal Models), CRR (Capital Requirements Regulation), and CRD IV (Capital Requirements Directive IV) are specific regulatory measures aimed at enhancing the stability and resilience of the financial system by imposing capital requirements and risk management standards on financial institutions.
  6. Technological Advances in Credit Risk Management:

    • This encompasses the integration of data analytics, machine learning, and artificial intelligence in credit risk assessment processes to enhance accuracy, efficiency, and scalability.
  7. Impact of Covid-19 on Credit Risk Modeling:

    • The Covid-19 pandemic has significantly impacted credit risk modeling by introducing unprecedented economic uncertainties, necessitating adjustments in risk assessment methodologies and models to account for heightened borrower defaults and market volatility.

By understanding these concepts thoroughly and staying abreast of the latest developments, professionals in the field can effectively navigate the dynamic landscape of credit risk management, mitigate potential losses, and contribute to the overall resilience of financial institutions.

Advanced Credit Risk Management | TU Delft Online (2024)
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