Software Engineer- Data Extraction

Required Skills

Primary technical and functional skills

• Experience in CBUAE BRF regulatory reporting, data extraction and regulatory data requirements.
• Strong knowledge of Credit Risk, ALM, Market Risk, Liquidity Risk, LCR, NSFR, BASEL and RAROC.
• Hands-on experience with Moody’s Risk Foundation (Risk Authority/RiskConfidence), including product/entity/workflow configuration and EEP debugging.
• Strong SQL/PL-SQL, ETL/batch integration, data mapping, migration and reconciliation skills.
• Good understanding of PD, LGD, customer exposure, ratings and other regulatory risk data.
• Experience in requirement gathering, technical specifications and source-to-target/data mapping.
• Knowledge of Core Banking Systems, Change/Incident Management and AWS/Azure cloud deployments.
• Exposure to AI technologies/use cases is an added advantage.

Key Deliverables

Expected outputs and outcomes from the resource

• End-to-end implementation of CBUAE BRF and other regulatory/risk reporting requirements.
• Functional/technical specifications and source-to-target data mappings.
• Configuration and implementation of requirements in Moody’s Risk Foundation.
• Data extraction, migration, reconciliation and regulatory report validation.
• Successful completion of SIT, QAT, UAT, DR, production deployment and post-go-live validation.

Section 3 – Certifications & Technical Requirements

Certifications e.g. AWS Certified, PMP, CISSP, Azure, ITIL

ITIL

OCP

Preferred Tech Stack e.g. Python, Java, React, Kubernetes, Power BI

Oracle Sql/ Pl/sql

IBM Weblogic

Core Java

Power BI

BODS

Tools / Platforms e.g. JIRA, Confluence, GitHub, ServiceNow, Postman

JIRA

Confluence

Pl/Sql Developer