Credit Risk Trends and Analytics : Episode 1

Presented by

Harry Scheule

About this talk

Credit Risk Trends and Analytics Part 1 - Data preparation for income and expense shocks We understand safeguarding your portfolio from current economic shocks is your top priority. That means you require a throughout data-driven approach for credit-risk assessment. Then your credit-decision model should be the reflection of the same and needs to be continually fined tuned. Altair with Deep Credit Risk brings Credit Risk Trends and Analytics, a three-part webinar series on credit risk analytics with a focus on the pain points of developing models that reflect the driving economics. In this webinar, we will try to understand the challenges in the credit risk industry. Build an understanding of the role of liquidity, equity, and many other key banking features. You will learn to do feature engineering and efficient selection for instance the impact of income and expense shocks on loan repayments. You will be able to pre-process credit information, import information, and merge data from various sources. This will give you the confidence to build credit models accurately as we cover deep domain knowledge on- Impact of Income and Expense Shocks on Loan Default Risk Impact on Illiquidity and Leverage External Data Default Rate Cycles Predictability and Pain Points Showcase for Lender-internal and External Income Data We will be showcasing- Pre-processing of mortgage loans Importing of external income data Merging Modelling Visualization Descriptive statistics Regression
Related topics:

More from this channel

Upcoming talks (4)
On-demand talks (57)
Subscribers (3455)
Altair is a global technology company that provides software and cloud solutions in the areas of data analytics, simulation, and high-performance computing (HPC). Altair Data Analytics enables people of all skill levels to access, generate, and use smart data to make insightful, informed decisions. Our no-code data transformation, AI/ML, and data visualization tools reduce the complexities often encountered in data analytics. We eliminate the need for specialized programming knowledge and democratize the analytics process. As a result, people across the business can leverage the value of insightful analytics. Visit to learn more!