Credit Analytics Specialist

Arab Bank • Full-time • عمان, JO • 1d ago

Accountabilities and Key Roles:

Develop, maintain, and deliver credit reports, IFRS9 ECL reports, dashboards, and risk forecasting tools, leveraging advanced AI/ML techniques to enhance predictive analytics, automation, and decision-making.
Design and maintain interactive, insightful dashboards and analytical reports using Power BI, providing senior management with key insights for strategic decision-making.
Support automation of credit reporting and ECL calculation workflows to optimize operational efficiency and reduce manual interventions.
Lead data sourcing, validation, reconciliation, and mining activities ensuring accuracy, quality, and completeness of data used for IFRS9 reporting and credit risk modeling.
Develop test cases and conduct User Acceptance Testing (UAT) for new systems or enhancements related to credit analytics and reporting platforms.
Manage periodic and ad hoc Expected Credit Loss (ECL) calculations across AB Group entities in accordance with approved IFRS9 methodologies, policies, and procedures.
Collaborate with IT, Data Engineering, AI, and Advanced Analytics teams to ensure seamless integration of machine learning models within credit risk processes.
Coordinate with internal Subject Matter Experts (SMEs) and external stakeholders to ensure proper alignment with IFRS9 regulatory requirements and best practices.

Job Requirements:

Education:

Bachelor’s degree in Business, IT, Finance, Mathematics, Statistics or any related field from a recognized university.

Experience:

3 - 5 years of related experience with a leading bank or consulting firm.

Competencies:

Strong technical skills in data analysis, visualization, and story-telling.
Fluency in English and Arabic.
Advanced mathematical & analytical skills.
Strong background in credit and accounting.
Excellent interpersonal and group oral and written communication and presentation skills.
Strong work discipline and ability to work under pressure.
Advanced working knowledge of OLAP and BI tools.
Good working knowledge of office tools.

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