Model Risk Manager

Requirements:

Regional Model Risk Management:

• Develop and own regional model risk policies and guidelines, ensuring they remain compliant with all relevant industry and regulatory guidelines.
• Drive the consistency of model risk management policies, guidelines and processes across different countries.
• Lead the end-to-end management of the model lifecycle, ensuring compliance with the Bank’s policies and guidelines.
• Sound understanding of the regional regulatory requirements.
• Manage the processes of model identification, attestation, and maintain a comprehensive model inventory.
• Manage model risk management reports for stakeholders and regulators.
• Establish AIDA model risk management framework and processes.
• Integrate automation into model risk management processes.

Model Validation:

• Validate risk models across various risk types, countries, including financial and non-financial risk models, and model types such as Machine Learning models.
• Perform independent validation of models, ensuring accuracy and compliance through both qualitative and quantitative assessments.
• Report model risk findings and validation outcomes to senior management and the risk committee.
• Continuously enhance validation processes to maintain robust model risk management.

Requirements:

• Bachelor’s degree in quantitative field (i.e. financial engineering, mathematics, statistics, physics).
• 5 -10 years of relevant hands-on experience in the field of model risk management including model validations.
• Strong understanding of regulatory compliance requirements related to model risk.
• Strong understanding of quantitative finance and statistical modelling techniques.
• Proficiency in programming languages (i.e. Python, R, SAS).
• Good stakeholder management and communication skills, strong problem-solving skills.
• Strong written and verbal communication skills.

Requirements:

Regional Model Risk Management:

• Develop and own regional model risk policies and guidelines, ensuring they remain compliant with all relevant industry and regulatory guidelines.
• Drive the consistency of model risk management policies, guidelines and processes across different countries.
• Lead the end-to-end management of the model lifecycle, ensuring compliance with the Bank’s policies and guidelines.
• Sound understanding of the regional regulatory requirements.
• Manage the processes of model identification, attestation, and maintain a comprehensive model inventory.
• Manage model risk management reports for stakeholders and regulators.
• Establish AIDA model risk management framework and processes.
• Integrate automation into model risk management processes.

Model Validation:

• Validate risk models across various risk types, countries, including financial and non-financial risk models, and model types such as Machine Learning models.
• Perform independent validation of models, ensuring accuracy and compliance through both qualitative and quantitative assessments.
• Report model risk findings and validation outcomes to senior management and the risk committee.
• Continuously enhance validation processes to maintain robust model risk management.

Requirements:

• Bachelor’s degree in quantitative field (i.e. financial engineering, mathematics, statistics, physics).
• 5 -10 years of relevant hands-on experience in the field of model risk management including model validations.
• Strong understanding of regulatory compliance requirements related to model risk.
• Strong understanding of quantitative finance and statistical modelling techniques.
• Proficiency in programming languages (i.e. Python, R, SAS).
• Good stakeholder management and communication skills, strong problem-solving skills.
• Strong written and verbal communication skills.