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Developing AI-Driven Credit Scoring Models
Paris
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Outcomes

By the end of the training, participants will be able to:

  1. ·         Understand the principles and rationale behind credit scoring.
  2. ·         Design and develop effective scoring models.
  3. ·         Incorporate AI and data-driven insights into credit decision-making.
  4. ·         Evaluate adoption steps for AI-enabled scoring systems.

Target Group

  1. Credit risk managers
  2. Data scientists and credit analysts\
  3. Product development specialists
  4. Risk and compliance officers
  5. Policy and regulatory stakeholde

Contents

Day 1

·         What is credit scoring?

·         Why credit scoring is used

·         Outcomes and benefits of credit scoring

·         How credit scoring supports risk management

·         What to incorporate credit scoring models

Day 2

·         Designing credit scoring models

·         Types of questions and answers

·         Development and practical exercises

·         How can AI support in the development of scoring models and credit decisions

·         How to use AI and what are the adoption steps


Type of Traning

International Programs

Training Activity Rate
Training activity Hours
16
Training activity Date
1/12/2025 - 2/12/2025
Training Activity Days
Mon- Tue
Start and End Time
09:00 - 17:00
Training Activity Classification
Digitization and Recent Development
Language
English
Methodology
In class
City
Amman
Deadline for registration
30/11/2025
Price For Jordanian
600 JOD
Price For Non Jordanian
847 US$

* Will be given discounts for groups
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