Credit Risk Complete Professional Learning Package with QuantSense

Credit risk begins with three connected questions: will a borrower default, how much will be exposed and how much will be recovered? This package develops those foundations across different lending portfolios, then explores expected and unexpected loss, dependence, concentration and rating migration. You learn why portfolio behaviour cannot be explained by one average loss number.

The modelling path examines candidate variable selection, data leakage, discrimination, calibration and stability. You will consider what makes an input useful and whether apparently strong model performance can be trusted. The accounting path then develops IFRS 9 expected credit losses, staging and significant increases in credit risk, with attention to default horizons, scenario weights and effective-interest discounting.

Work with synthetic portfolios and data in the offline lab. Change assumptions and examine their effect on risk measures and expected credit losses, including revolving facilities and credit-impaired assets. Worked cases and applied assignments encourage you to explain model choices, identify limitations and distinguish accounting estimates from internal risk measures and regulatory capital.

What you receive

Your downloadable package includes a 121-page professional guide with explanations, formulas and worked examples; 100 question-and-answer flashcards in digital, printable and Anki import formats; an offline lab covering 34 lessons or comparison topics; and 69 interview practice questions and applied cases with answers. An applied workbook and career toolkit add structured assignments, a capstone exercise and templates for communicating your work. A source register records the references used.

How to use the package

Read a concept, work through an example, then test your understanding in the lab. Use the flashcards for recall and the interview practice to rehearse a clear explanation. The interview material is original role-aligned practice, rather than a claim to reproduce questions from specific employers.

Who this is for

For credit analysts, risk modellers, IFRS 9 practitioners and learners preparing for credit risk roles. Basic statistics and spreadsheet-style calculations are helpful. The package teaches modelling and accounting concepts under stated assumptions rather than providing institution-specific policy or audit conclusions.