How to built an effective Loss Event Database (LeD)

Certificate of completion (supplied by PasarTrainer)

Training Material

A multiple-choice test to assess the participants' proficiency level prior to enrolling in the training program.

Pre-Test (10 Questions)

* The understanding main objective of the operational risk management concept


This module explains an overview of Operational Risk Management.

Module 1: Operational Risk Management Framework

* Highlight the importance of operational risk impact in the real situation as it occurred in the organization.

Description of existing cases as it was published.

Case Study

* Loss of data collection
* Threshold setting
* Method and Techniques 
* Determine control weakness
* Determine to mitigate action

Describe the basic concept of a loss event database.

Module 2: Loss Event Database - basic concept

* Important and mandatory fields required

Describe an effective way to prepare the loss data forms.

Module 3: Loss Event Database - forms

* The common reporting mechanism used by the most institution

Describe an effective reporting and escalation mechanism to be reported to the Management level.

Module 4: Reporting and escalation method

A multiple-choice test to assess the participants' proficiency level after enrolling in the training program.

Post-Test (10 Questions)

As required by the local regulators as well as to have proper and adequate operational risk management, one most common methodology is to have lost data and information. Based on that, you may propose, and determine the correct action in order to mitigate the operational risk in terms of impact and/or likelihood. This program offers how to build effective loss data in the organization, including report preparation, loss data form, escalation mechanism, etc.

After completion of this program, participants will be able to:
* Understand more about the concept of loss of data
* How to build an effective loss data form
* How to communicate the issue to Risk Taking Unit (RTU)
* Conduct comprehensive and efficien loss data