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Operational Risk Modeling

Operational risk modeling program is designed to learn the concepts of measuring, monitoring and mitigating the risk of direct or indirect loss caused from inadequate or failed internal processes or from external events.

120 Ratings


Operational risk modelling program provides competitive edge in the fastest growing field of risk management. With the growing sophistication of financial institutions, mitigating operational risk has become a prime concern for institutions as well as regulatory bodies. To mitigate operational risk, a comprehensive approach is required that asks for a strong fundamental knowledge of statistics and current regulatory literature, both of which is covered in the course.


  • Online Recording

    Video lessons with time duration of about 20 hours

  • Case Study

    Hands-on Case Study (Real Life) based learning

  • Forum

    Forums to interact with faculty

  • 24x7 Online Access

    24 X 7 Online Access* to Online materials & Tests Our doubt solving forum to interact with faculty & fellow students

Course Structure

Introduction to operational risk modeling

Basic concepts related to probability distributions

Modeling number of losses using Excel: Frequency distributions

Modeling size of losses using Excel: Severity distributions

Fitting distributions to data: Parameter estimation

Examining goodness of fit

Aggregate loss modeling

Aggregating VaR estimates across Business Lines and Event types

Precautions while using EVT/GPD to avoid overestimation of capital reqt

How confident are you about parameter estimates?

Using External data in OpVaR

Combining capital estimates based on internal data, external data and scenario analysis

Operational risk modeling software

Introduction to R: an open-source operational risk modeling software

For corporate enquiries

Schedule WHEN

Location Start Date Batch Type Class Timing
Location Start Date Batch Type Class Timing
Location Start Date Batch Type Class Timing
Location Start Date Batch Type Class Timing

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Benefits WHY?

  • The course will enable you to:

  • Provides a solid understanding of statistical concepts required for Risk Management jobs

  • It is a prerequisite for Operational Risk jobs in the Risk Management field

  • Gives you excellent skills that help you advance your career in the Operational Risk field

  • Covers concepts such as Distribution Fitting (MLE, MME etc.)

  • It includes a detailed analysis of capital implications of Modeling decisions

  • It has a comprehensive coverage of operational risk of Basel-II implementation

A Risk Manager earns an average salary of Rs 9,92,343 per year.


EduPristine is a great place to start your finance career. It has a good faculty and after completing your course they also provide great placement assistance.I sincerely thanks EduPristine for this and looking forward for continuing my relations with them.

Deepesh Jain

Who should do this? TARGET

This program is suitable for people in Risk Management, particularly those who focus on operational and credit risk models for their organizations

  • Should be comfortable with Microsoft Excel

  • The participant should also be familiar and have working knowledge of operational risk concepts

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