Credit Risk Analytics With Machine Learning Training Course

Introduction

Empower financial professionals to revolutionize credit risk assessment and decision-making with our comprehensive Credit Risk Analytics with Machine Learning Training Course. This program equips you with the essential knowledge and skills to leverage the power of artificial intelligence and machine learning to develop advanced credit scoring models, predict defaults, and mitigate risk effectively. Mastering credit risk analytics with machine learning is increasingly vital for organizations seeking to enhance accuracy, improve efficiency, and gain a competitive edge in today's dynamic financial landscape. Our machine learning for credit risk training course offers in-depth guidance and practical applications for transforming your approach to credit risk management.

This Credit Risk Analytics with Machine Learning training course delves into key areas such as machine learning fundamentals, data preprocessing, feature engineering, model selection, credit scoring model development, default prediction, and model validation. You will gain expertise in applying machine learning algorithms to real-world credit risk problems, interpreting model results, and implementing cutting-edge solutions. Whether you are a risk analyst, data scientist, or credit manager, this Credit Risk Analytics with Machine Learning course will provide you with the tools and knowledge to confidently navigate the evolving landscape of credit risk and drive impactful results.

Target Audience:

• Risk Analysts
• Data Scientists
• Credit Risk Managers
• Financial Analysts
• Quantitative Analysts
• Portfolio Managers
• Regulators

Course Objectives:

• Understand machine learning fundamentals for credit risk.
• Apply data preprocessing techniques for credit data.
• Perform feature engineering for credit risk models.
• Select appropriate machine learning models for credit scoring.
• Develop credit scoring models using machine learning.
• Predict defaults using machine learning techniques.
• Validate and evaluate credit risk models.
• Implement machine learning solutions for credit risk management.

Duration

5 Days

Course content

Module 1: Machine Learning Fundamentals for Credit Risk

• Understanding machine learning fundamentals for credit risk.
• Exploring the basics of machine learning.
• Understanding supervised and unsupervised learning.
• Understanding regression and classification techniques.
• Applying machine learning to credit risk assessment.

Module 2: Data Preprocessing for Credit Data

• Applying data preprocessing techniques for credit data.
• Gathering and preparing credit data.
• Cleaning and transforming data.
• Handling missing values and outliers.
• Ensuring data quality and integrity.

Module 3: Feature Engineering for Credit Risk Models

• Performing feature engineering for credit risk models.
• Understanding feature engineering.
• Selecting relevant features.
• Creating new features.
• Transforming features for model compatibility.

Module 4: Model Selection for Credit Scoring

• Selecting appropriate machine learning models for credit scoring.
• Understanding credit scoring.
• Exploring logistic regression.
• Exploring decision trees and ensemble methods.
• Understanding neural networks for credit risk.

Module 5: Credit Scoring Model Development

• Developing credit scoring models using machine learning.
• Building a credit scoring model.
• Training and testing the model.
• Calibrating the model.
• Implementing the model.

Module 6: Default Prediction with Machine Learning

• Predicting defaults using machine learning techniques.
• Understanding default prediction.
• Applying survival analysis.
• Using machine learning for default prediction.
• Evaluating prediction accuracy.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.