Head of Portfolio Analytics

• Implement & maintain tools, data, methodologies required as part of the process for recognition and measurement of expected credit loss allowances, required under IFRS9 standards.
• Prepare monthly IFRS 9 numbers for IFRS 9 Provisioning Committee.
• Address all action points (CBUAE, Internal Audit, External Audit, etc.) related to IFRS 9/RAROC.
• Be instrumental in ensuring the adequacy of budgeting for impairment through maintenance of appropriate methodologies under IFRS9 and contribute to related reporting and disclosures.
• To develop reports and management information to enable committees and senior management to make informed portfolio capital allocation decisions in context of business strategy, risk strategy and regulatory limits.
• The initial building of the reporting suite will require utilizing existing resources spanning the 1st and 2nd LoD; including pipeline reports, account planning information, annual renewal schedules, customer risk-adjusted profitability reports, IFRS 9 ECL data sets, collateral reports, credit trends (i.e. sector performance / customer leverage / cost of credit analysis / credit rating trends / concentration, Risk Appetite), loan amortization schedules, and other regulatory & risk reports. And relevant external market information i.e. government spending plans, central bank reports and economic outlooks.
• Develop feasible RWA mitigation and risk reduction strategies seeking to improving overall returns whilst meeting portfolio composition targets.
• Contribute to the cost-of-credit risk reviews - partnering with Finance, Credit, and the Business i.e. IFRS 9 ECL, RAROC.
• Development of RAROC and other risk-based pricing tools for 1st LoD to manage pricing and portfolio diversification objectives.

• 13 + years’ experience working in Financial / Risk roles, with a good understating of wholesale banking activities.
• Experience in capital allocation in context of portfolio and / or balance sheet management.
• Understanding / experience of wholesale credit risk processes and booking systems.
• Understanding of accounting principles, i.e. fair valuation, and IFRS 9 provisioning and specific loan loss provisions.
• Degree in either finance, accountancy, banking studies, mathematics, quantitative methods, IT, business.
• Professional Qualification (preferred): accountancy & finance / CFA / MBA.

• Strong data handling and data science skills – ability to apply a range of quantitative techniques and be able to surface key information for decision makers.
• Software: strong Excel, BI tools, statistical and data visualization.
• Excellent report and presentation skills utilizing financial and non-financial information.
• Planning and organizing skills across multiple stakeholders.

Commercial Bank of Dubai