Senior Manager, Model Governance & Model Validation

at  ABU DHABI ISLAMIC BANK

Technical skills

• A strong background and expertise in various types of models, such as credit risk, liquidity risk, market risk, capital, pricing and other risk models, and the associated methodologies, techniques, and tools.
• Robust technical quantitative skills in the field of financial modelling.
• Robust technical knowledge of credit scoring and market / trading systems and their use.
• Experience of large and complex data sets.
• Experience of statistical software (such as SAS, Python, VBA and R Statistics)
• Knowledge of financial markets and products.
• Robust knowledge of model risk management best practices and regulatory requirements - CBUAE model management standards and guidance document
• Robust knowledge of risk management best practices and regulatory requirements - including Basel II & Basel III and IFRS9 regulations

Interpersonal Skills

• Self-starter, ability to work independently and undertake the necessary research.
• Good oral and written communication skills in English
• Ability to deliver presentations.
• Flexible team player and able to work and deliver under short deadline

ROLE PURPOSE:

This role supports a strategic function within Group Risk Management. It is a key contributor to the model risk governance & independent model validations and more generally supports the bank with advance quantitative analytics capability and standards. The role also contributes to the review of bank-wide exercises such as ICAAP and Stress Testing. It requires robust quantitative skills, independent thinking, and articulate communication skill to interact with a diverse range of stakeholders within Group Risk.

SPECIALIST SKILLS / TECHNICAL KNOWLEDGE REQUIRED FOR THIS ROLE:

• Minimum of 12 years of relevant experience in risk management, model development / model validation in the financial industry and/or consultancy.
• A strong academic background with a quantitative major. PhD in a quantitative field is desirable but not mandatory
• A professional certification or qualification in risk management, quantitative analysis, or a related field, such as FRM, PRM, CQF or CFA, is desirable but not mandatory.

Technical skills

• A strong background and expertise in various types of models, such as credit risk, liquidity risk, market risk, capital, pricing and other risk models, and the associated methodologies, techniques, and tools.
• Robust technical quantitative skills in the field of financial modelling.
• Robust technical knowledge of credit scoring and market / trading systems and their use.
• Experience of large and complex data sets.
• Experience of statistical software (such as SAS, Python, VBA and R Statistics)
• Knowledge of financial markets and products.
• Robust knowledge of model risk management best practices and regulatory requirements - CBUAE model management standards and guidance document
• Robust knowledge of risk management best practices and regulatory requirements - including Basel II & Basel III and IFRS9 regulations.

Interpersonal Skills

• Self-starter, ability to work independently and undertake the necessary research.
• Good oral and written communication skills in English
• Ability to deliver presentations.
• Flexible team player and able to work and deliver under short deadlines

Job ID 300002207461291