About this course
The financial services industry is increasingly utilizing data and information to help drive decision-making and to help assess and manage risk. This course provides an introduction to Financial Risk Analytics and will help you understand how to assess credit risk, how to model credit risk and also look at methods of optimizing risk.
Market Risk Optimization
Credit Risk Modeling
Finance Risk Analytics
- Financial Risk Analytics - Overview
- Financial Risk Analytics - Credit Risk Basics
- Financial Risk Analytics - Credit Risk Modelling
- Financial Risk Analytics - Market Risk Optimization
- Financial Risk Analytics - Credit Risk Modelling PD
- Financial Risk Analytics - Credit Risk Loss Distributions
Get Financial Risk Analytics course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
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Frequently Asked Questions
The range of solutions that provide risk analytics to financial institutions for measuring and managing their counterparty credit risk, market risk, and regulatory risk capital and derivative valuation adjustments.
Yes, the Great Learning Academy provides the financial risk analytics course for free.
Financial risk generally relates to the risk of losing money. Such risks include liquidity risk, credit risk, foreign investment risk, equity risk, and currency risk.
Yes, one can learn financial risk analytics for free at Great Learning Academy.
Financial risk usually arises due to the instability and losses in the financial market which is caused by movements in currencies, stock prices, varying interest rates and more.
You can learn credit risk modelling with Great Learning Academy’s free course in financial risk analytics.
You can reduce your financial risk by taking a loan only if required and trying to keep debts as low as possible. It would be ideal if one can fund their business without loans.
There are five steps to building a risk model which is identifying risks, analysing risks, prioritising, implementing the solution, and finally monitoring the risk.
Model risk occurs when a financial model is used to measure quantitative information such as the firm’s market risk or value transactions and the model fails to perform adequately leading to adverse outcomes. Managing such risk is called model risk management.