Data Science

Financial Risk Analytics

4.45 (1785 Ratings)


Skill level


Course cost

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.

Skills covered

  • Market Risk Optimization
  • Credit Risk Modeling

Course Syllabus

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

Course Certificate

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.

GL Academy Sample Certificate

Financial Risk Analytics

The financial service industry is experiencing significant changes. This change is coming with the increased use of data and information technology. Data today has become crucial for driving business decisions and managing risk. Financial Risk Analytics provides solutions to financial institutions and fintech organisations. Risk analytics and management helps businesses measure and manage credit risk, market risk, derivative valuation adjustments, and regulatory risk capital. Latest analytics technologies such as big data and machine learning are being implemented by banks and niche firms alike.

Regulatory and compliance pressures that banks and insurance companies face make them rethink their business strategy and achieve better visibility into their data sets. Tackling data silos and enterprise-wide adoption of financial risk analytics solutions leverage the power of data modelling and predictive analytics. Streamlining reporting and capital management processes are not the only applications of predictive analytics. These applications also extend to enabling organizations to step up a level by eliminating various risks and non-compliance.

Risk analytics has been under the spotlight because of the increasing demand for analytics in the finance sector. As per studies, the global risk analytics market is expected to reach USD 50 Billion by the year 2020. The increasing need for companies to minimise their losses incurred due to risks and maximise ROI is driving the significant growth in risk analytics.

With this growth, the need for talented financial risk analysts is also on the rise. Because of the existing shortage of the talent pool in the analytics industry, the demand for Risk Analytics Professionals is extremely high. This demand and availability gap converts into huge salary packages for risk analytics professionals.

About The Program 

The Financial Risk Analytics program by Great Learning Academy is a specialised program with industry collaborations. It is specially designed for professionals who want to pursue a career in financial risk analytics. 

The program curriculum includes statistics, foundation in quantitative methods, financial instruments and markets. It also covers exhaustive modules, techniques, and case studies on credit risk and market risk. The highlight of the program is that it covers Basel implementation with a thorough understanding of Basel Norms and its implementation. Under implementation, it covers the aspects of IRB, CCAR, Risk capital calculations, capital adequacy, and calculation of risk weights among others.

It is a dual certificate program and learners will receive certification from Illinois Institute of Technology, Chicago along with an additional certificate from Great Lakes Institute of Management.

The program duration is 6 months and is a combination of weekend classroom sessions, online lectures and recorded videos / pre-reads. The program covers 160 hours of learning comprising 100 hours of classroom learning and 60 hours of online learning. 


Importance of this course

Risk Analytics is an area of interest for companies and therefore the demand for the right talent is shooting up. Also, there is a huge gap in the demand and supply of risk analysts and hence there are a lot of open positions waiting to be filled with the right candidates. 

India is arising as a hot destination globally for analytics talent due to skill sets possesses by professionals in India. This is a specialised program that caters to the growing need for trained finance and risk analytics professionals. Among the analytics profiles that the industry is seeking, financial risk analytics tops the list as of today. Professionals are required to have analytical ability to identify, measure, and mitigate financial risks abiding by the regulatory framework. The program blends together market risk, credit risk, and the operational risk within the overall Basel guidelines. 

On completion of the program, a candidate must be able to appreciate and solve the following problems:

  • How does a financial institution identify, measure and manage market risk
  • How are credit risk models developed and validated
  • How is stress testing of such models undertaken
  • How are regulatory capital (CCAR) calculated
  • How to set up systems that comply with Basel guidelines

The curriculum entails exhaustive coverage of academic concepts blended with rich industry exposure and hands-on training to ensure that the candidates graduating from CFRA program are industry-ready.


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