Job Description :

Position Overview A public finance institution in Riyadh is seeking an experienced Risk Models Development Specialist to support high-pace, high-impact analytical work on the ground. The role focuses on developing, enhancing, and validating risk, fraud, and credit models using SAS, with additional work in SQL and Python. The ideal candidate brings strong statistical modelling expertise and experience in tax, customs, or public finance environments.

Experience Required : 5+ years

Key Responsibilities :

- Develop and enhance risk models (regression-based, statistical, and AI-driven) using SAS for public finance use cases.

- Support model development for tax, customs, fraud detection, and credit risk.

- Build, test, and deploy production-grade SAS models aligned with institutional risk frameworks.

- Perform data extraction, transformation, and analysis using SAS, SQL, and Python.

- Conduct model performance monitoring, back-testing, and documentation.

- Collaborate closely with risk, compliance, and analytics teams in a fast-paced environment.

- Provide on-the-ground analytical support to ensure rapid delivery of high-impact solutions.

Required Skills & Experience :

- 5+yearsofhands-on experience in SAS programming and statistical modelling.

- Proven experience building risk, fraud, or credit models.

- Strong knowledge of regression techniques, predictive modelling, and model validation.

- Experience working with public finance, tax, or customs institutions is highly preferred.

- Proficiency in SQL for data manipulation and extraction.

- Working knowledge of Python for analytics and automation.

- Ability to operate in a high-pace, high-impact, onsite environment.

- Strong communication skills and ability to work with cross-functional teams.

Preferred Qualifications :

- Experience with public sector risk frameworks.

- Exposure to fraud analytics, anomaly detection, or behavioural modelling.

- Familiarity with enterprise SAS environments.