Role : Analytics Officer
Location : Abu Dhabi
Role Purpose:
This position involves preparing databases and reports for credit risk models and risk segmentation. The Retail Credit Analytics Officer plays a pivotal role in analyzing and monitoring the retail credit portfolio, and supporting the Head of Retail Analytics for all Credit Score development work.
Key Accountabilities of the role
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Continuously monitor the performance of retail credit portfolios, including personal loans, auto loans, credit cards, and mortgages.
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Identify emerging risk trends and provide actionable insights to mitigate potential losses.
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Develop and maintain dashboards and reports highlighting key performance indicators (KPIs) such as delinquency rates, non-performing loans (NPLs), and recovery rates
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Work closely with ERM team to develop the Portfolio Quality Review (PQR) pack, covering the following topics:
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Mandate & Scale Tracking
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MI for tracking both portfolio and new sourcing performance
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Vintage analysis
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Test Performance tracking
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Account maintenance tracking
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Deviation performance tracking
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PPR working with Business team
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Ensuring credit risk is properly quantified and adequate provisions are allocated for expected losses. Work closely with business stakeholders in forecasting / budgeting the provision. Tracking the actual performance with budget to identify high risk segments if needed.
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Prepare comprehensive reports for internal stakeholders and regulatory bodies, ensuring accuracy and timeliness.
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Coordinate with IT and data management teams to ensure the integrity and availability of data sources.
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Engage with product, collections, and underwriting teams to refine credit strategies
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Review and manage data tables for underwriting and portfolio indicators and develop automated dashboards for reporting
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Prepare and provide data for development of applications score cards, and support the Head of Retail Analytics in developing analytics based scorecards
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Provide data-driven recommendations for the development and revision of credit policies
Specialist Skills / Technical Knowledge Required for this role:
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Strong command of data analysis tools such as SQL, SAS, Python, R, and data visualization platforms like Power BI or Tableau.
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Strong analytical and problem-solving abilities.
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Ability to work with large databases and automate report generation process