Senior Risk Data Engineer - Scorecards & Automation

ADIB; Abu Dhabi; On-site; AED 180,000 - 240,000; Full time

Job summary

Abu Dhabi Islamic Bank (ADIB) is seeking a qualified SAS developer to prepare, derive and validate datasets for application and behavioural scorecards. You will support production implementation, automate data ingestion, and develop SAS-based automation on the SAS Risk Stratum engine, coordinating with multiple teams on data issues.

Ideal candidates have 3-5 years in SAS development within banking and strong SQL/Oracle skills, with experience in risk data or model implementation and testing.

Qualifications

• Strong hands-on SAS programming, SAS Data Integration, SAS Studio and SQL.
• Practical experience deriving scorecard variables and implementing risk models.
• Experience with scorecard or risk model implementation and testing.
• Understanding of data quality, lineage and reconciliation.
• Working knowledge of relational databases and Oracle.
• 3-5 years in SAS development, risk data or model implementation in banking.

Responsibilities

• Prepare, derive and validate variables and datasets for application and behavioural scorecards.
• Provide model-ready datasets for A-Score and B-Score development.
• Support production implementation of approved scorecards.
• Automate BAU data ingestion and loading into the Azure/CML database.
• Develop SAS-based automation on the SAS Risk Stratum engine.
• Coordinate with Model Development, Validation, Business and IT teams on data issues.
• Run the SAS suite loading LGD model data.
• Prepare data for CBUAE regulatory reporting and BRF requirements.

Skills

SAS development experience

Data quality & reconciliation

Banking risk domain

Tools

SAS programming

SAS Data Integration

SAS Studio

SQL

Oracle

Job description

Abu Dhabi Islamic Bank (ADIB) is seeking a qualified SAS developer to prepare, derive and validate datasets for application and behavioural scorecards. You will support production implementation, automate data ingestion, and develop SAS-based automation on the SAS Risk Stratum engine, coordinating with multiple teams on data issues.

Ideal candidates have 3-5 years in SAS development within banking and strong SQL/Oracle skills, with experience in risk data or model implementation and testing.