SAS Developer

Job Summary We are seeking a highly skilled SAS AML Developer to design, develop, and optimize SAS-based solutions supporting our Anti-Money Laundering (AML) initiatives. The ideal candidate will possess strong SAS programming expertise, a deep understanding of data workflows, and the ability to deliver high-performance solutions in a regulated financial environment. Key Responsibilities • Design, develop, and maintain SAS programs using Base SAS, SAS Macro Language, and PROC SQL. • Configure and update user interfaces using SAS Visual Analytics or SAS Web Applications. • Integrate SAS applications with SAS Workflow Studio or external workflow engines to streamline AML processes. • Provide production support, including debugging, troubleshooting, and resolving performance issues. • Conduct performance tuning of SAS jobs and workflows for optimal efficiency and scalability. • Collaborate with compliance and technology teams to meet AML regulatory requirements. • Leverage SAS Viya to modernize and scale analytics solutions. Required Skills & Experience • Proficiency in SAS Base Programming, SAS Macro Language, and PROC SQL. • Experience with SAS Visual Analytics, SAS Workflow Studio, and SAS Viya. • Strong problem-solving skills, especially in debugging and performance tuning. • Familiarity with AML compliance frameworks and financial crime detection (preferred). • Excellent communication and collaboration skills. Nice to Have • SAS AML Developer experience. • Experience in enterprise-scale data and analytics environments. Standard Software Engineering Skills • Full lifecycle application development. • Designing, coding, and debugging applications in various software languages. • Software analysis, requirements gathering, and code reviews. • Object-Oriented Design and Analysis (OOA/OOD). • Software modeling, simulation, and performance tuning. • GUI design, testing, and quality assurance. • System integration, automation, and documentation. • Knowledge of standards compliance, localization, and globalization practices. • Bachelor’s degree in Computer Science, Engineering, IT, or related discipline (or equivalent experience).