برنامج التدريب الصيفي بجامعة الدول العربية لعام 2024

 

Enhancing SME Digital Lending in Egypt through Credit Scoring Masterclass

Successful banks and financial institutions of the 21st century have understood the importance of data for their business operations. GIZ Egypt and Frankfurt School are targeting this by providing a high-profile webinars series, which aims to provide knowledge transfer on advanced Credit Scoring, data analytics, in particular machine-learning algorithms to develop predictive models. Demonstrated on automated customer scoring the concepts will be explained and shown in very detail and could be used for many other analytical tasks.

Besides, the course conveys approaches to obtain relevant Environmental, Social, Governance (ESG) data and consider that in automated scoring models to obtain weighted scores, assess environmental risks and simplify ESG reporting. The series will be delivered online in a combination of lectures and case studies.

Session schedule

Session 1:  Introduction to Digital Credit Scoring Models & Machine Learning

Date & Time:  12/10/2021, 10:00 - 12:00

Session 2:  Prerequisites, Limitations, and Success Factors in Credit Scoring

Date & Time: 14/10/2021, 10:00 - 12:00

Session 3:  Basic Excel Training

Date & Time: 20/10/2021, 10:00 - 12:00

Session 4:  Strategic Data Development (1/2)

Date & Time​: 25/10/2021, 10:00 - 12:00

Session 5:  Strategic Data Development (2/2)

Date & Time: 27/10/2021, 10:00 - 12:00

Session 6: Underlying Statistical Concepts and General  Understanding of Selected Machine Learning Algorithms (1/3)

Date & Time: 01/11/2021, 10:00 - 12:00

Session 7: Underlying Statistical Concepts and General  Understanding of Selected Machine Learning Algorithms (2/3)

Date & Time: 03/11/2021, 10:00 - 12:00

Session 8: Underlying Statistical Concepts and General  Understanding of Selected Machine Learning Algorithms (3/3)
Date & Time: 08/11/2021, 10:00 - 12:00

Session 9:  Case Study: From Raw Data to a Predictive Model - Work Steps and Testing
Date & Time: 10/11/2021, 10:00 - 12:00

Session 10:  Case Study: From Raw Data to a Predictive Model - Work Steps and Testing
Date & Time: 15/11/2021, 10:00 - 12:00

Session 11:  Case Study: From Raw Data to a Predictive Model - Work Steps and Testing
Date & Time: 16/11/2021, 10:00 - 12:00

Session 12:  Model Implementation
Date & Time: 22/11/2021, 10:00 - 12:00

Session 13:  Digital Lending & Loan Origination
Date & Time: 24/11/2021, 10:00 - 12:00

Session 14:  Digital Lending & Scoring Model integration
Date & Time: 29/11/2021, 10:00 - 12:00

Session 15:  Regulations & International best practicies
Date & Time: 06/12/2021, 10:00 - 12:00

Session 16: Agricultural Scoring (1/2)
Date & Time: 08/12/2021, 10:00 - 12:00

Session 17: Agricultural Scoring (2/2)
Date & Time: 09/12/2021, 10:00 - 12:00

Session 18: Outlook: Integrating ESG-Data / Climate Aspects into Scoring Models (1/2)
Date & Time: 14/12/2021, 14:00 - 16:00

Session 19: Outlook: Integrating ESG-Data / Climate Aspects into Scoring Models (2/2)
Date & Time: 15/12/2021, 16:00 - 18:00

Session 20: Beyond Scoring – Other Machine Learning Use Cases in the Financial Sector
Date & Time: 20/12/2021, 10:00 - 12:00

Session 21:  Deep dive into Selected Machine Learning Algorithms (1/2)
Date & Time: 10/01/2022, 10:00 - 12:00

Session 22:  Deep dive into Selected Machine Learning Algorithms (2/2)
Date & Time: 12/01/2022,  10:00 - 12:00

Session 23:  Logistic Regression and Random Forest in R

Date & Time: 17/01/2022,  10:00 - 12:00

How To Apply

Participants who attend more than 70% of the sessions will receive a certificate of attendance.

In addition, there will be the option to prove your knowledge by a masterclass at the end of the course. If you pass the exam, you will receive an extra certificate issued by Frankfurt School.

Apply

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