Operational Risk Consultancy

CRISIL Risk Solutions reviews, recommends and designs operational risk management frameworks.

Gap Analysis


  • Diagnostic review of operational risk management practices as compared to industry best practices and regulatory guidelines.

Policy & Procedure


  • Analysis of key business processes, development of workflow charts, identification/grading of possible operational risk areas
  • Assess and mitigate operational risk 
  • Design control processes to assist in risk mitigation/minimisation

Risk Control Self-Assessment (RCSA)


  • Design process-risk-control library to assist risk control self-assessment (RCSA)
  • Design framework and template for RCSA

Key Risk Indicators (KRI)


  • Design process flow and library for key risk indicators (KRI)
  • Design KRI monitoring framework

Loss Data Management (LDM)


  • Design framework to measure operational risk
  • Design processes to analyse operational loss databases
  • Design framework for loss data management

Model Validation


  • Validate bank's internal models, etc to ensure compliance with advanced measurement approach

Operational Risk Consulting develops value-at-risk (VaR) models for operational risk measurement. It entails:


  • Loss data collection across Basel business lines and loss event categories
  • Loss data modeling
  • Conduct "goodness of fit" test to assess strength of distribution
  • Conduct simulation analysis
  • Estimate operational loss VaR
  • Back-testing to assess operational loss of VaR as against actual loss
  • Operational risk capital charge estimation
  • Estimate unexpected loss
  • Scale-up factor, based on results of RCSA and KRI
  • Value-at-risk model validation process includes:
    • Assessment of internal and external data (including proxy data elements) used in the model to ensure completeness
    • Analysis of model assumptions
    • Analysis of mathematical calculation and underlying risk factors
    • Back-testing of existing data
    • Testing VaR model based on hypothetical portfolios
    • Validation of model vis-a-vis benchmark/industry standard
    • Assessment of reporting to senior management as regards

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