Credit Risk Modeling Course
Master credit risk modeling from data preparation to scorecards. Gain expertise in PD modelling, feature engineering, AUC/KS evaluation, calibration, and governance to develop compliant, profitable lending strategies for modern retail and consumer finance portfolios.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches defining default, aligning models with business goals and KPIs, and meeting regulatory standards. Learn data inventory, feature engineering, cleaning, leakage control, building and validating models with logistic regression, WOE, tree-based methods, and designing scorecards, pricing, decision rules, monitoring for production-ready credit models.
Elevify advantages
Develop skills
- Design credit risk datasets: build predictive, stable loan features fast.
- Clean and prep credit data: fix missing values, outliers, and leakage risks.
- Build and tune PD models: logistic and tree ensembles for real loan portfolios.
- Evaluate and calibrate scores: AUC, KS, PSI, and cost-based cutoffs in practice.
- Operationalize scorecards: pricing, limits, decisions, and monitoring in production.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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