Emirates NBD
Manager – Model & Analysis
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 25/04/2026
Job overview
Date posted
11/03/2026
Location
Dubai, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Job description
The Manager – Model & Analysis (Asset Liability Management, Liquidity & IRRBB Risk) role at Emirates NBD operates within the Model and Analysis Team responsible for providing group-wide oversight of Banking Book Asset Liability Management (ALM) across the organization. The function focuses on critical areas including Liquidity Risk Management, Interest Rate Risk in the Banking Book (IRRBB), Funds Transfer Pricing (FTP), and regulatory and Basel compliance requirements in the ALM domain. The role supports the measurement, monitoring, and governance of liquidity and interest rate risk exposures in the banking book while contributing to the formulation and maintenance of risk limit frameworks and model methodologies across the Group. The position is responsible for managing the full lifecycle of ALM models including development, maintenance, calibration, back-testing, reporting, and exception management while ensuring regulatory compliance and analytical robustness. The manager contributes to the development and implementation of models supporting regulatory liquidity and interest rate risk frameworks including Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR), and IRRBB Economic Value of Equity (EVE) metrics. The role includes ownership and coordination of model governance processes, ensuring engagement with model users, model validators, internal stakeholders, and regulators to maintain effective oversight and regulatory alignment. The position supports implementation and analysis across ALM systems and modules including Static ALM analysis, LCR, NSFR, and IRRBB modules while ensuring accurate model integration and methodological alignment. The role requires strong statistical modelling and analytical expertise, including experience with programming tools such as SAS, Python, and R for model development, data analysis, and risk analytics. The position also collaborates closely with IT teams, ALM system vendors, treasury, risk management, finance, and business stakeholders to support ALM policy development, analytical scenarios, and strategic decision-making across the bank’s treasury and balance sheet risk management framework.
Required skills
Key responsibilities
- Develop and maintain Asset Liability Management (ALM) models supporting liquidity risk management and Interest Rate Risk in the Banking Book (IRRBB) analysis as well as Funds Transfer Pricing (FTP) methodologies in compliance with regulatory and Basel requirements
- Manage the ALM model lifecycle including model development, implementation, calibration, back-testing, validation preparation, reporting, and exception management to ensure accuracy and regulatory compliance
- Coordinate the model governance process on behalf of the Model Owner by ensuring timely engagement and delivery from all stakeholders involved in model management, validation, and regulatory oversight
- Engage with model users, internal and external model validators, regulators, and internal stakeholders to ensure transparency, governance, and regulatory compliance of ALM modelling frameworks
- Support and maintain ALM systems and analytical modules including Static ALM, Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR), and Interest Rate Risk in the Banking Book (IRRBB) modules with respect to model implementation and methodology alignment
- Perform model monitoring activities including back-testing, calibration adjustments, model performance evaluation, and generation of model reports to ensure ongoing reliability and compliance
- Execute advanced analytics, scenario analysis, and balance sheet modelling exercises to support ALM policy decisions, risk management strategies, and treasury balance sheet optimization
- Collaborate with IT teams, ALM system vendors, treasury, finance, and business stakeholders to support model implementation, data integration, and system functionality enhancements within ALM platforms
- Support group-wide alignment of ALM modelling frameworks and methodologies across international entities to ensure consistency in balance sheet risk measurement and regulatory reporting
- Contribute to the measurement and monitoring of banking book liquidity and interest rate risk exposures and assist in developing and maintaining risk limit frameworks used by the organization
- Support regulatory reporting and Basel compliance requirements related to liquidity and IRRBB risk metrics including LCR, NSFR, and EVE calculations
- Apply statistical modelling methodologies and programming tools including SAS, Python, and R to develop analytical models, conduct quantitative analysis, and support data-driven decision-making
Experience & skills
- Obtain a Bachelor’s Degree or equivalent academic qualification relevant to finance, quantitative analysis, risk management, or related analytical disciplines
- Possess additional statistical or data management qualifications demonstrating expertise in quantitative analysis, statistical modelling, and financial risk analytics
- Demonstrate experience in model development and data management within financial institutions or banking environments involving risk models or balance sheet analysis
- Possess practical experience developing Asset Liability Management (ALM) models used for liquidity risk management, interest rate risk analysis, and balance sheet risk management
- Maintain professional experience working within the banking industry with exposure to treasury functions, risk management, or treasury-finance collaboration frameworks
- Demonstrate strong understanding of statistical modelling methodologies used for financial risk modelling, balance sheet analysis, and scenario analysis
- Possess programming knowledge and practical experience using quantitative programming tools such as SAS, Python, and R for model development and risk analytics
- Demonstrate strong data management capabilities including data analysis, model input preparation, and analytical reporting used in ALM model development
- Maintain strong functional knowledge of Asset Liability Management (ALM) including liquidity risk management, Interest Rate Risk in the Banking Book (IRRBB), and Funds Transfer Pricing (FTP)
- Demonstrate familiarity with regulatory frameworks related to liquidity and banking book interest rate risk including Basel standards and regulatory reporting requirements
- Possess experience collaborating with treasury, finance, risk management, IT teams, and system vendors to implement and maintain ALM models and systems
- Demonstrate analytical capability to conduct scenario analysis, quantitative modelling, and risk analytics supporting ALM policy formulation and balance sheet decision-making