Senior SAS & Credit Risk Systems Administrator
Müller`s Solutions عرض جميع الوظائف
- الرياض
- دائم
- دوام كامل
- Administer and maintain SAS software and credit risk systems, ensuring optimal functionality and performance.
- Oversee installation, updates, and configuration of SAS applications and related infrastructure.
- Provide technical support and troubleshoot issues related to SAS and credit risk systems.
- Collaborate with business users and data analysts to gather requirements and deliver effective SAS solutions for credit risk analytics.
- Monitor system performance and implement enhancements to meet evolving business needs.
- Develop and maintain documentation for systems administration procedures, processes, and standards.
- Ensure compliance with data governance policies, industry regulations, and best practices.
- 5+ years of experience in SAS administration and credit risk systems management.
- Strong understanding of credit risk frameworks, analytics, and reporting processes.
- In-depth knowledge of managing and operating SAS Analytics and Moody’s CreditLens systems.
- Minimum of 5 years of experience in SAS development and automation.
- Ability to read logs and analyze performance to proactively identify issues.
- Experience in report preparation.
- Familiarity with best practices in SAS Analytics and Moody’s CreditLens, including applying updates without impacting current operations.
- Must be fluent in Arabic.
- Hands-on experience with SAS software installation, configuration, and maintenance.
- Proficiency in scripting and automation to streamline SAS processes.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
- Relevant certifications related to SAS or risk management are a plus.
- Personal Skills:
- Strong analytical and organizational skills to understand business requirements and implement appropriate solutions.
- Effective communication skills with technical teams and end users.
- Training skills to guide users in efficiently utilizing different modules.
- Educational Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or any related field.
- Specialized certification in developing or managing SAS Analytics or Moody’s CreditLens platform.