Overview:
The IFRS/IRB Model Validation position plays a crucial role in ensuring the accuracy and integrity of the financial models used for regulatory and risk management purposes. The individual in this role will be responsible for validating models used for credit risk measurement compliance with IFRS standards and regulatory capital calculations.
Key Responsibilities:
- Validate IFRS and IRB models used for credit risk measurement.
- Assess model performance against regulatory requirements and industry best practices.
- Review and validate model assumptions and methodologies.
- Ensure compliance with IFRS standards and regulatory guidelines.
- Conduct quantitative analysis of model outputs and assumptions.
- Prepare comprehensive validation reports documenting findings and recommendations.
- Participate in model governance and validation committee meetings.
- Collaborate with crossfunctional teams including risk management and finance.
- Provide insights and recommendations to enhance model performance and accuracy.
- Stay updated with regulatory changes and industry developments related to IFRS and IRB models.
- Contribute to the enhancement of model validation processes and procedures.
- Support audit and regulatory examinations related to model validation.
- Provide training and guidance to junior team members.
- Participate in model development and implementation projects.
Required Qualifications:
- Bachelors degree in a quantitative field such as Mathematics Statistics Finance or Economics.
- An advanced degree (Masters or PhD) in a related field is preferred.
- 3 years of experience in model validation within a financial institution.
- Total Experience: Prior experience of 35 years (Senior) 58 years (Assistant Manager) working in the Risk Management/Analytics division in large banks and tier 1 consulting organizations like Big 4 or captives of top tier banks is preferred
- Strong understanding of IFRS and IRB regulatory requirements.
- Proficiency in statistical and programming languages such as R Python or SAS.
- Experience with credit risk modeling and validation methodologies.
- Ability to conduct quantitative analysis and interpret model outputs.
- Familiarity with financial products and markets.
- Excellent written and verbal communication skills.
- Ability to work independently and in a team environment.
- Strong attention to detail and analytical mindset.
- Certifications such as CFA FRM or PRM are a plus.
- Knowledge of model governance and validation best practices.
- Ability to prioritize and manage multiple tasks effectively.
- Proficiency in MS Excel PowerPoint and other relevant software.
Interested candidates should reach us at with the following details:
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