Organization Unit Purpose

Group Risk Management ensures sound risk management practices across the organisation while meeting regulatory requirements. Key deliverables include Credit, Market and Operational Risk models and policies, Central Bank reporting, IFRS 9 provisioning, internal risk rating systems, stress testing, and embedding risk practices into business processes.

The Group Risk Modelling and Analytics function is part of Group Risk Management and plays a central role in advancing sophisticated credit risk analytics across Emirates NBD Group. The team develops and maintains credit risk models for wholesale and retail portfolios, including (but not limited to): corporate rating models, retail scorecards, PD, LGD, EAD, IFRS 9, Stress Testing and ICAAP models. These models inform customer selection, credit pricing, provisioning and capital calculations for regulatory reporting.

Job Purpose

This is a manager level role requiring both technical expertise and hands-on engagement across the end-to-end model development lifecycle. The role combines technical modelling with project ownership and problem-solving abilities.

Key responsibilities:

• Design, develop and implement credit risk models across wholesale and retail portfolios.
• Contribute to the development of forward-looking macro-econometric models for IFRS 9, Stress Testing and ICAAP.
• Strengthen and embed key pillars – i.e. data, methodologies, governance, and processes – throughout the model development lifecycle, ensuring alignment with future IRB compliance.
• Lead model development projects, owning milestones such as data preparation, model build, validation, implementation, monitoring and enhancement.
• Provide ad-hoc support in resolving modelling challenges and enhancing risk analytics across portfolios.

Job Content

Develop internal credit risk models

• Develop credit risk models including IRB and IFRS 9 PD/LGD/EAD for wholesale and retail portfolios, scorecards, rating systems, and macro-econometric components supporting forward-looking projections. Ensure credit risk models meet regulatory requirements and business needs, aligned with internal development and validation standards.
• Determined to ensure developed models are conceptually robust, technically sound and regulatory-compliant, leveraging both practical industry related experience and academic research.
• Deliver comprehensive documentation in line with internal governance standards.
• Able to clearly communicate model results and methodologies to both technical and non-technical stakeholders.

Support model validation, implementation, and seamless execution

• Liaise with second and third line of defenses (model validation and audit) to obtain approvals. Furthermore, address validation/audit findings with pragmatic and technically sound solutions in an agreed timeline.
• Collaborate with cross-functional stakeholders to ensure smooth model implementation.
• Work closely with IT to hand over model logic, inputs/outputs and UAT support, ensuring timely and seamless go live.

Use advanced modeling techniques to develop and refine internal models

• Apply sound industry practices and quantitative methods to develop credit risk models aligned with regulatory expectations and Emirates NBD standards.
• Ensure credit risk models are conceptually and technically rigorous while also practical for implementation.
• Other support
• Support stakeholders in interpreting model results, conducting scenario analyses, assessing regulatory impacts, and closing gaps in credit risk assessment.
• Ensure timely delivery of modelling projects.

Education

• Advanced Degree in numerate or analytical subject (e.g. Mathematics, Statistics, Economics, Engineering and Physics).
• Preference in MSc and MA (or Ph.D.) from highly reputational institution.

Experiences

6 to 9 years of relevant experience in leading financial organization.

Knowledge Areas

• Strong quantitative background is a must.
• Extensive hands-on experience in IRB/IFRS 9 modelling for wholesale and retail portfolios, particularly:
• PD / LGD / EAD models
• Rating Models and Scorecards,
• Econometrics modelling.
• Prior credit risk model development/validation experiences within UK and/or EU regulatory environments (i.e. PRA and/or EBA).
• Pragmatic mindset, delivery-focused, hands-on in modelling/coding and “can-do” attitude.
• Strong analytical in nature with the ability to understand not only the “what” but the “why.”

Skill Areas

-Advanced proficiency in:

• Python and GitHub,
• SAS Enterprise Guide.

-Extensive knowledge and understanding in:

• Credit risk modelling,
• Statistics, econometrics and time-series modelling,
• Advanced machine learning techniques.

-Proficient in verbal and written communication abilities in both day-to-day engagement and presentation.

-Ability to simplify complexity – explaining the technical modelling contents to both technical and non-technical stakeholders.

-Determine to seek solution for challenging topics within demanding environment.

Behavioral Competencies

Strong collaboration skills, able to work effectively across cross-functional teams.