SAS AML Technical Consultant

Lead the end-to-end process of risk data management including capturing, organizing, storing, and analyzing.

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 modelling teams.

Consolidate data from multiple sources and deliver it in the agreed format using SAS and SQL expertise.

Execute BAU activities across applications and systems.

Address the data requirements from CBUAE and consider automation aspects as part of the TO-BE process.

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.

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.

Engage in risk architecture projects including 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 modelling database.

Prepare and maintain Data Quality (DQ) reports aligned with modelling data requirements as part of a structured data delivery framework.

Automate existing manual regulatory reporting processes.