3.2 Model risk management activities and reporting
• Oversee model risk management activities in accordance with defined procedures
- Build monitoring plan including governance, risk/performance metrics during life cycle of model
- Organize to risk/performance model monitoring
- Periodic reviews of data samples to ensure data quality, completeness and integrity in analytics usage
• Review and propose improvement to reporting dashboards for representing risk and compliance model risk findings
• Communicate findings of summary report of quantitative modelling, trend analysis to stakeholders
• Challenge the results of quantitative modelling, monitoring and analysis based on known risks and weaknesses in models
• Set the direction for remediation plan of risk model and remediation actions of pricing and behavior model
3.3 Model validation for FM pricing model, customer behavior
• Set of direction for Independent assessment of model risk under the scope of pricing model and Behavior model including: Validation activities, Model risk assessment, Summary of finding, Model risk mitigation and recommendation for
Developer • Ensure Documentation, validation report and references are in place to deliver to Developer
3.4. Risk internal policies
• Lead to develop standard, guidelines, process on model development and model validation in line with TCB's overall risk framework, bank's strategy, compliance with SBV requirements và Basel standards
• Coordinate with Market risk, IRRBB, Liquidity risk, Counterparty credit risk, Model risk policy function to design policies, processes and guidelines related to Market risk, Liquidity risk, Counterparty credit risk measurement
• Set the direction to train and knowledge sharing on standard, process and guidance
• Contribute comments on internal policies, regulations, processes by related units
3.5. Risk data and system
• Drive a culture or responsible data use through data governance
• Develop and deploy techniques and methodologies for data mining and data collection
• Set the direction for system versioning monitoring related to quantitative risk model
• Define resources (data, models, systems, ..), technologies and systems serving the deployment of models for risk assessment and monitoring
3.6. MLR Transformation
• Set the direction for RvàD of new technology/tool can be applied for MR, LR, IRRBB, CCR as AI/ML, Fintech [protected info] optimize model performance, risk analytics quality
• Lead for RvàD of new quantitative modeling and quantification approach, best industry practice that can be applied for MR, LR, IRRBB, CCR to optimize model performance and risk analytics quality
4. Other tasks
• Organize and complete other tasks assigned by Head of center
• Join projects when required