About the Job:
This position is a contractual (hybrid) role based in Dubai, UAE, focusing on data management and analytics, model implementation, and IT projects in the realm of risk architecture.
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Role Purpose and Key Responsibilities:
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Data Management & Analytics:
- Lead the end-to-end process of risk data management, including capturing, organizing, storing, and analyzing data.
- Perform data analytics to support model development, recalibration, and validation.
- Troubleshoot data-related issues and authorize necessary maintenance or modifications.
- Assist in data extraction and preparation for modeling teams.
- Consolidate data from multiple sources and deliver it in the agreed format using SAS and SQL expertise.
- Execute Business-As-Usual (BAU) activities across applications and systems.
- Address the data requirements from CBUAE while exploring automation aspects as part of the TO-BE process.
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Model Implementation & Change:
- Collaborate with IT teams to test and validate model deployment and data migration.
- Enhance current ECL calculators and regulatory changes in line with provisioning reports.
- Deploy models using SAS Data Integration.
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Internal Technology & Tools:
- Apply statistical software (SAS, SQL) for analysis and support.
- Review and optimize existing SAS implementation code to improve processing efficiency.
- Integrate SAS Stratum with SAS Viya.
- Establish data lineage between SAS Studio and the MRM solution.
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Risk Architecture & IT Projects:
- Engage in risk architecture projects, including the implementation of risk IT applications and data standards.
- Work with IT on risk software migration and upgrade projects.
- Perform testing to ensure correct data migration and model deployment.
- Incorporate the latest CBUAE requirements into SAS Stratum.
- Develop data pipelines within SAS Risk Stratum and the centralized modeling database.
- Prepare and maintain Data Quality (DQ) reports aligned with modeling data requirements as part of a structured data delivery framework.
- Automate existing manual regulatory reporting processes.
Preferred Tools & Technologies:
- Power BI, SAP BusinessObjects, Oracle
- SAS, Python, R
- Relational Database Management Systems
Language Requirements: Not specified.
Reporting Line:
Reports to Model Implementation and Data Management Manager.
