Vice President - Risk Analytics
Role Overview
Leads the bank’s regulatory modelling, impairment analytics, and portfolio risk measurement across Retail, SME, Wholesale, Financial Institutions, and Bond portfolios.
Owns development, validation oversight, implementation, monitoring, and governance of IFRS 9, regulatory capital, and internal rating models.
Leads the Expected Credit Loss framework and advises senior management on portfolio risk and credit risk decisions.
Key Skills for This Role
Full Job Posting
Role overview
Leads the bank’s regulatory modelling, impairment analytics, and portfolio risk measurement across Retail, SME, Wholesale, Financial Institutions, and Bond portfolios.
Owns development, validation oversight, implementation, monitoring, and governance of IFRS 9, regulatory capital, and internal rating models.
Leads the Expected Credit Loss framework and advises senior management on portfolio risk and credit risk decisions.
Key responsibilities
- Lead regulatory risk model and ECL methodology development, enhancement, and governance; set modelling strategy and portfolio roadmaps.
- Oversee model development, recalibration, redevelopment, monitoring, implementation, and retirement.
- Ensure compliance with IFRS 9, CBUAE regulations, model risk standards, and internal governance.
- Oversee monthly and quarterly ECL production and management, finance, audit, and regulatory submissions.
- Review macroeconomic forecasts, scenarios, overlays, and staging assessments; provide strategic risk insights.
- Lead interactions with Model Validation, Internal Audit, External Audit, Finance, regulators, and consultancy partners.
- Set model development standards, documentation, monitoring thresholds, and governance practices.
- Manage team resources, capability development, and succession planning; collaborate on stress testing and ICAAP.
- Approve technical modelling approaches, monitoring frameworks, calibration methodologies, and model recommendations.
- Maintain models and methodologies in line with evolving IFRS 9 standards and regulatory expectations.
Experience and education
- Master’s degree in Statistics, Mathematics, Econometrics, Finance, Data Science, or a related quantitative discipline.
- Minimum 12–15 years of experience in credit risk analytics, regulatory modelling, or quantitative risk functions.
- Extensive hands-on experience in IFRS 9, PD, LGD, EAD, rating models, stress testing, and ECL methodologies.
- Strong knowledge of regulatory expectations, model risk governance, accounting requirements, and audit processes.
- Proven leadership experience managing modelling and analytics teams.
Skills and capabilities
- Advanced proficiency in Python, SAS, SQL, Databricks, or equivalent analytical platforms.
- Expertise in regulatory credit risk modelling, impairment methodologies, portfolio analytics, and model risk management.
- Strong leadership, stakeholder management, governance, judgment, and strategic thinking; able to communicate with executive and regulatory audiences.
Role scope and authority
Addresses complex analytical and regulatory challenges across large portfolios, changing regulations, and macroeconomic conditions.
Exercises professional judgment on modelling assumptions, calibration, expert overlays, and emerging risks.
Works within approved risk appetite, IFRS 9 policies, model risk frameworks, credit risk standards, and regulatory requirements.
Accountable for controls, documentation, governance, and regulatory compliance across modelling and impairment activities.
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