Requirements
Requires minimum 5+ years of experience in software development, implementation, and application support with strong hands-on experience in SAS Platform, SAS Viya, and SAS Anti-Money Laundering (AML) Solutions (Version 7.2 and above). Proficiency in SAS, SQL, and Python programming is essential, along with experience in data analysis, ETL development, data migration, and database design. A sound understanding of AML concepts, transaction monitoring, sanctions screening, customer risk scoring, and regulatory compliance requirements is necessary, as is experience in debugging, troubleshooting, and performance optimization.
Description
Key ResponsibilitiesDesign, develop, enhance, and support applications on the SAS Platform and SAS Viya. Configure, develop, and maintain SAS Anti-Money Laundering (AML) 7.2 and higher versions, including transaction monitoring scenarios, alert generation, workflows, and reporting. Develop, optimize, and troubleshoot complex SQL queries, ETL processes, and data integration workflows. Build automation scripts and utilities using Python to improve operational efficiency and reduce manual effort. Analyze business, regulatory, and compliance requirements and translate them into technical solutions. Perform unit testing, SIT support, defect resolution, production deployments, and post-implementation validation. Collaborate with Compliance, Business, Data Warehouse, Infrastructure, DevOps, and Vendor teams throughout the project lifecycle. Prepare technical documentation, solution designs, deployment guides, and implementation artifacts. Troubleshoot production issues and perform performance tuning, code optimization, and root cause analysis. Support change management, release management, and application governance activities. Required Skills & QualificationsMinimum 5+ years of experience in software development, implementation, and application support. Strong hands-on experience with SAS Platform and SAS Viya. Proven experience in SAS Anti-Money Laundering (AML) Solutions (Version 7.2 and above). Strong programming skills in SAS, SQL, and Python. Experience with data analysis, ETL development, data migration, and database design. Sound understanding of AML concepts, transaction monitoring, sanctions screening, customer risk scoring, and regulatory compliance requirements. Experience in debugging, troubleshooting, and performance optimization. Strong analytical, problem-solving, and communication skills. Ability to work independently and effectively within cross-functional teams. Preferred SkillsExperience in the Banking and Financial Services domain. Knowledge of Oracle Database, performance tuning, and query optimization. Experience with Linux/Unix environments. Exposure to CI/CD pipelines, Git, and release management processes. Familiarity with Agile delivery methodologies and DevOps practices. Nice to HaveExperience in SAS Model Manager, SAS Intelligent Decisioning, or other SAS Viya components. Exposure to cloud platforms and containerized deployments. Experience supporting audit, compliance, and regulatory initiatives in a banking environment. This role requires a strong technical background, excellent communication skills, and the ability to deliver high-quality AML solutions in a fast-paced banking and compliance environment.