Credit Risk Analysis and Modeling 2022

Credit Risk and Rating plays a major role in any of the organization’s lifespan. It is basically determining the funding requirement of the business. So how is it done? It’s very simple if few steps are followed for analysis purpose. So one of the steps in this process is Credit Risk and Rating Modeling. The training will include the following;

1) Different measures of credit risk Credit Risk Analysis and Modeling 2022 Udemy

2) Traditional credit models – credit rating & credit scoring – strengths n weaknesses

3) Probability density function of credit losses (discussion on VaR)

4) Parameter specifications – eg. Loss given default, prob of default etc.

5) Structural models

6) Reduced form models

7) Term structure of credit spreads 

This course is ideal for Financial Analysts, Credit Rating Analysts, Private Equity Analysts, Credit Analysts, Investment Bankers, Corporate Bankers, Business Analysts. The students looking for a career in Finance can take this course. This course will help you a lot in financial sector, may it be Private Equity, Asset Management, Investment banking, Equity Research etc. The course provides hands-on practical training. This can also help you crack your upcoming interviews easily in finance sectors.

This course will help you to stand in good stead for a potential Credit Analyst profile in the sectors like Investment banking, Equity Research, Private Equity, Asset Management, Credit Rating Agencies. Credit Analyst profile is quite demanding in all of the above jobs. Hence, your employer will want you to be on ready to work on a real project from the beginning. Our course does exactly that. We make you job ready for your professional work. The course provides all the practical training to undertake the role of a credit analyst in the above sectors. You can crack your upcoming interviews easily with the learning from this course. You have lifetime access to the course once you enroll. So even if you don't plan to start now, you can still enroll and come back anytime later.