Summary
This role supports a strategic function within Group Risk Management. It is a key contributor to the independent validation of models and generally supports the bank with advanced quantitative analytics capabilities and standards. The role also involves reviewing bank-wide exercises such as ICAAP and Stress Testing. It requires robust quantitative skills, independent thinking, and articulate communication skills to interact with a diverse range of stakeholders within Group Risk.
Key accountabilities and responsibilities
- Model Governance
- Support model risk management within the group, including activities like model identification, classification, tiering, assessment, inventory management, risk controls, and finding management.
- Assist in implementing the model risk management framework and ensure compliance with regulatory standards and industry best practices.
- Identify, assess, and mitigate model risks, escalating significant issues appropriately.
- Ensure adherence to CBUAE Model Management Standards, Guidelines, and internal policies.
- Independent Model Validation
- Lead the implementation of the validation framework and review models related to trading, market, credit, pricing, liquidity, macroeconomic overlays, and others.
- Validate non-risk models such as compliance, fraud, and business models.
- Support the modeling team to ensure models are fit for purpose and compliant with internal and regulatory standards.
- Develop statistical tools using Excel, VBA, R, SAS, Python to analyze models.
- Review model documentation for completeness and accuracy.
- Produce validation reports for senior management, auditors, and compliance as needed.
- Support remediation of weaknesses identified during assessments or audits.
- Provide industry best practice guidance for model development and related projects.
- Ensure external models are robust and well-understood through comprehensive handovers.
- Participate in testing and implementation of models.
Education and Experience
- Minimum 8 years in a technical role within financial or risk consultancy, especially risk management.
- Strong academic background with a quantitative major.
- Professional certifications such as FRM, PRM, CQF, or CFA are desirable but not mandatory.
Technical Skills
- Expertise in various risk models and methodologies, including credit, liquidity, market risk, and pricing.
- Strong technical skills in financial modeling and statistical software (SAS, Python, VBA, R).
- Experience with large data sets and financial markets/products.
- Knowledge of model risk management best practices, regulatory standards (Basel II/III, IFRS9), and CBUAE guidelines.
Interpersonal Skills
- Self-starter with the ability to work independently.
- Excellent communication skills in English.
- Ability to deliver presentations, work under tight deadlines, and collaborate in a team environment.
You will be redirected to the company website to apply for this position.