Portfolio Analytics Manager

ADIB · United Arab Emirates

Role: Portfolio Analytics Manager

Location: Abu Dhabi

Role purpose:

Support the effective oversight of the Bank’s credit risk portfolio through comprehensive portfolio analytics, risk monitoring and high-quality reporting to Senior Management, Management Committees and the Board.
Lead the preparation, review and continuous enhancement of credit risk reporting, providing clear insights into portfolio quality, risk trends, concentrations, asset quality, provisioning and emerging areas of risk.
Coordinate and deliver accurate and timely credit risk regulatory reporting to the Central Bank of the UAE (CBUAE), ensuring consistency with applicable regulatory requirements, internal policies and the Bank’s risk governance framework.
Perform forward-looking portfolio analysis to identify emerging risks, concentrations, deteriorating trends and underlying risk drivers, supporting timely escalation and management action.
Ensure the integrity, completeness and reconciliation of credit risk data used for internal, Board and regulatory reporting.
Drive automation, standardisation and enhancement of credit risk analytics and reporting processes, improving efficiency, control and management insight.
Ability to work with Advanced SQL & Data Manipulation, ETL / Data Pipeline Design, Power BI and Dashboard Development
Ability to convert large datasets into dashboard and management executive summarizes via SAS / Python coding.
Develop Data Quality rules, Reconciliation & Controls process to ensure smooth transmission of data flow.

Key accountabilities of the role:

These are the main responsibilities of this role

Credit Risk Portfolio Management & Analytics:

Monitor and analyse the Bank’s credit risk portfolio across relevant dimensions including business segment, sector, geography, counterparty, product, rating, staging and other material risk concentrations.
Assess portfolio quality and trends, including exposures, concentrations, asset quality indicators, credit migration, IFRS 9 staging, ECL/provisions and other key credit risk metrics.
Identify emerging risks, deteriorating trends, portfolio vulnerabilities and risk concentrations, performing root-cause and driver analysis where required.
Support portfolio reviews, thematic analyses and ad-hoc deep dives requested by Senior Management, Risk Committees or the Board.

Management & Board Reporting:

Prepare high-quality credit risk reports and presentations for Senior Management, Management Committees and the Board, ensuring that key developments, risks and management actions are clearly articulated.
Coordinate the periodic credit risk portfolio reporting process across relevant Risk and Business stakeholders.
Ensure consistency of credit risk information, definitions and commentary across management, committee and Board reporting.
Translate complex portfolio information into concise and decision-useful risk insights for senior stakeholders.

Regulatory Reporting:

Coordinate the preparation and submission of credit risk regulatory reports and information required by CBUAE.
Ensure regulatory submissions are accurate, complete, appropriately reconciled and supported by adequate controls and documentation.
Support responses to CBUAE requests, inspections and supervisory reviews relating to credit portfolio information and risk reporting.
Monitor changes in regulatory reporting requirements relevant to credit risk and coordinate their implementation within the reporting framework.

Data Quality & Reporting Governance:

Maintain appropriate controls over credit risk data sourcing, reconciliation, validation and reporting.
Investigate material data discrepancies and coordinate their timely resolution with relevant stakeholders.
Maintain appropriate documentation, procedures, data definitions and reporting controls.
Support the reconciliation of information across regulatory, financial, risk and management reporting where applicable.

Automation & Continuous Improvement:

Drive automation and simplification of recurring portfolio monitoring and reporting processes.
Develop and enhance analytical tools, dashboards and management information to improve transparency of credit risk.
Identify opportunities to improve data quality, reporting efficiency and analytical capability.
Support the development of scalable reporting solutions using appropriate analytical and visualisation tools.

Specialist skills / technical knowledge required for this role:

Strong knowledge of credit risk management and portfolio risk analytics across Retail and/or Non-Retail portfolios.
Strong understanding of credit risk metrics, portfolio concentrations, asset quality, credit ratings, IFRS 9 staging and ECL/provisioning.
Good understanding of CBUAE credit risk regulatory requirements and regulatory reporting expectations.
Strong experience in management, committee, Board and regulatory risk reporting.
Strong analytical capability and ability to interpret large datasets and convert them into meaningful risk insights.
Advanced Excel and PowerPoint skills, with strong capability in management information and executive-level presentation.
Experience with data analytics, reporting and visualisation tools such as Power BI, SAS, SQL, Python or equivalent platforms.
Good understanding of data governance, reconciliation, data quality and reporting controls.
Strong written communication skills, particularly the ability to develop concise senior-management and Board-level risk commentary.

Previous experience required (if any):

Minimum 8–10 years of relevant experience in banking, preferably within Credit Risk Management, Portfolio Risk, Risk Analytics or Regulatory Risk Reporting.
Demonstrated experience in credit portfolio analysis and management reporting within a financial institution.
Experience preparing credit risk information and presentations for Senior Management, Risk Committees and/or Board-level forums.
Experience in regulatory reporting or interaction with banking regulators, preferably CBUAE or another comparable banking supervisory authority.
Experience analysing large and complex credit risk datasets and identifying portfolio trends, concentrations and emerging risks.
Hands-on experience with reporting automation, data analytics and/or business intelligence tools.
Experience working across Risk, Finance, Business, Technology and Data functions would be an advantage.