SAS AML - Technical Consultant

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.

Role Purpose and Key Responsibilities:

• 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.

• 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.

• 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.

• 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.