Master Credit Risk Scorecards and Modeling with Live Class & In-Person Training

Are you ready to dive deep into the world of credit risk with global experts?

Featured Courses:

Credit Risk Scorecard Development and Implementation

Date: August 6 – 7, 2026
Mode: In-Person Class
Time: 8:30 AM – 4:30 PM ICT

This business-focused class by Naeem Siddiqi provides detailed end-to-end methodology training for risk scorecard development for retail and SME portfolios, discussions on scorecard implementation and risk strategy development, as well as scorecard and portfolio management reporting.

The course emphasizes practical real-life tips and tricks, do’s and don’t’s, and global better practices that help build better models. The content can be adapted for scorecard development as well as building Machine Learning models – attendees will learn how to add intelligence to the process without going deep into the statistics.

The focus of the course is the development of application scorecards, and issues relating to behavior scorecard development will also be explored.
Computational & Statistical Processes in Credit Risk Modeling

Date: September 24 – 25, 2026
Mode: Live Web
Time: 8:30 AM – 4:30 PM ICT

This course led by Prof. Jeffry Tejada, Ph.D teaches the computational and statistical processes that are used in credit risk modeling. It dissects the underlying formulas and models used in various stages of the credit risk modeling process and the intuitions behind them.

The course also puts emphasis on interpreting modeling results and statistical calculations. Participants will perform hands-on computations and run statistical models on credit data to reinforce the concepts.

Venue:

SAS Institute Thailand
▪ 388 Exchange Tower Building 38th Floor, Unit 3803-4 Sukhumvit Road, Klong Toey Bangkok 10110

First Name

Last Name

Organization/Company

Job Title

Country/Region

Mobile Phone

Select your Interest

Credit Risk Scorecard Development & Implementation

Computational and Statistical Processes in Credit Risk Modeling

All personal information will be handled in accordance with the SAS Privacy Statement.

Yes, I would like to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.

Naeem Siddiqi

Senior Risk Advisor and author of “Intelligent Credit Scoring"

Naeem Siddiqi serves as a Senior Risk Advisor at SAS and is the author of “Intelligent Credit Scoring”, (Wiley and Sons, New York, 2005), Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards (Wiley and Sons, 2017), and various papers on credit risk topics. Naeem meets with senior executives and decision makers from between 40-50 lenders globally each year, and provides strategic advice to them on areas such as the development and validation of credit scoring models, climate change risk, infrastructure planning for analytics, and retail credit risk strategy. He has also trained hundreds of bankers in over 25 countries on the art and science of credit scorecard development, and helps credit risk analysts develop better scorecards.

Dr. Jeffry Tejada

Professor
University of the Philippines

Dr. Jeffry Tejada is an Associate Professor of Statistics at the University of the Philippines, where he teaches courses on both theoretical and applied statistics. Some of these courses include probability and inference, data analytics, machine learning, statistical software, just to name a few. He also has more than 20 years of experience in providing consulting and training expertise in analytics and machine learning for various organizations. His work spans multiple industries, such as software development, telecommunications, banking, manufacturing, and retail. Recent engagements include credit risk modeling, data management, propensity scoring, and time series forecasting.

Credit Risk Roadmap

Credit Risk Scorecard Development & Implementation

Learn How to -

Recognize the different uses for credit risk scorecards.
Recognize the main personas involved in successful credit-scoring projects.
Plan a successful scorecard development project.
Develop grouped-variable, points based credit risk scorecards, from start to finish and much more.

Computational and Statistical Processes in Credit Risk Modeling

Learn How to -

Perform computations and run statistical processes in credit risk modeling.
Interpret mathematical formulas used in various stages of the development process.
Develop credit risk models and apply statistical principles for best practices.
Interpret modeling results and statistical calculations in credit risk and much more.

Why Attend?

This masterclass offers a comprehensive, hands-on learning experience designed to strengthen your expertise in credit risk scorecard development and implementation.
From mastering predictive modeling techniques to applying statistical procedures in PD, LGD, and EAD modeling, you'll work directly with real credit data to translate theory into practice.
Whether you're refining existing frameworks or building new ones, the masterclass equips you with industry-aligned knowledge and insights to develop accurate, compliant, and effective credit risk models.

Secure your spot today and elevate your skills in credit risk modeling.

About SAS

SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW^®.

Contact Us

Got questions? Please contact:
SAS Education Thailand
THL.Education@sas.com

Visit SAS Thailand for more information