Perpetual Analytics Training on Credit Risk & Scorecard Modelling is a tailored two-day training for each seniority level in credit risk management, focusing on end-to-end modelling approach. The content is designed to cater to the specific needs and responsibilities of junior analysts, senior analysts, and junior managers.

Credit Risk & Scorecard Modelling Training 

This is a Two-Day Training Agenda: Scorecard Modelling

Cost: ZAR18 000.00

🕒 Duration: 2 Days

Facilitator: Vusi January

Training Objectives

By the end of this training, participants will:

• Understand the end-to-end process of credit risk and scorecard modelling.
• Be equipped to handle data preparation, model development, validation, and documentation.
• Be capable of applying these skills at their respective levels of expertise.

Junior Credit Risk Analyst

Profile: Typically, 0–2 years of experience. Focus on foundational knowledge and technical skills. 

Day 1 Session:

1. Data Preparation:
   • Introduction to data sources, basic data profiling, and quality checks.
2. Feature Engineering:
   • Understanding of basic feature creation and transformation.
3. Univariate Analysis:
   • Learning to perform and interpret univariate analyses.
4. Modelling:
   • Introduction to logistic regression and its application.

Day 2 Session:

5. Basic Documentation:
   • Basic documentation templates
   • Emphasis on accurate and clear documentation practices.
6. Interactive Workshops:
   • Hands-on sessions using sample datasets.
7. Group Discussions:
   • Sharing of insights and challenges.
8. Quizzes

Mid-Level Credit Risk Analyst

Profile: Typically, 2–5 years of experience. Focus on analytical depth and process optimization. 

Day 1 Session:

1. Advanced Data Preparation:
   • In-depth data profiling and handling complex data issues.
2. Sampling Techniques:
   • Understanding observation months, outcome periods, and sample size determination.
3. Segmentation:
   • Techniques for effective segmentation and its impact on modelling.
4. Model Validation:
   • Introduction to strength & accuracy tests, stability testing, and benchmarking.

Day 2 Session:

5. Advanced Documentation:
   • Detailed documentation of processes and methodologies.
6. Case Studies:
   • Analysis of real-world scenarios.
   • Collaborative tasks to solve complex problems.
7. Peer Reviews:
   • Constructive feedback sessions to enhance skills.
8. Quizzes

Senior Credit Risk Analyst

Profile: Typically, 5+ years of experience. Focus on strategic decision-making and leadership.

Day 1 Session:

1. Strategic Model Development:
   • Aligning models with business objectives.
2. Advanced Model Validation:
   • Conducting comprehensive validation and ensuring model robustness.
3. Leadership in Documentation:
   • Leading documentation efforts and ensuring compliance.

Day 2 Session:

4. Mentorship:
   • Guiding junior analysts and fostering a collaborative environment.
   • Leadership Workshops:
   • Sessions on effective team management and decision-making
5. Strategy Sessions:
   • Discussions on aligning credit risk strategies with business goals.
   • Structured programs to develop leadership skills.
6. Peer Reviews: 

Non-endorsement

By using a service provider to offer the courses, the JSE does not directly or indirectly endorse any product or service provided, or to be provided by the service provider.