SOFTWARE ANALYST

Role OverviewWe are seeking a Software Analyst with strong expertise in SAS technologies, Credit Risk Analytics, and AML solutions within the Banking & Financial Services domain. The ideal candidate will have experience in SAS development, statistical modeling, risk scoring, data analytics, and production support. Key Responsibilities SAS Development & Data Engineering• Develop, maintain, and support SAS ETL pipelines and workflows. • Design and implement data integration and transformation processes. • Perform data quality checks and validation activities. Risk Analytics & Modeling• Design and develop Credit Risk and Behavioral Scorecards. • Build and validate statistical models using:Logistic RegressionScorecard Development Techniques • Conduct variable selection, model validation, and performance monitoring. ️ AML & Compliance Solutions• Support SAS Anti-Money Laundering (AML) implementations. • Develop and maintain transaction monitoring solutions. • Assist in regulatory and compliance reporting requirements. Reporting & Visualization• Create automated reports and dashboards using:SAS Visual AnalyticsTableauPower BI • Generate management and regulatory reporting outputs. Stakeholder Collaboration• Work closely with Business, Risk, Compliance, and Technology teams. • Gather requirements and translate them into technical solutions. ⚙️ DevOps & Production Support• Manage source code and deployments using:GitJenkinsBMC Control-M • Provide production support and issue resolution. ️ Technical SkillsSAS Technologies• SAS Base • SAS Macro • SAS Viya • SAS Model Studio • SAS Intelligent Decisioning • SAS AML • SAS Visual Analytics Programming & Database• SQL • Python • Shell Scripting • Linux DevOps & Scheduling• Git • Jenkins • BMC Control-M Reporting & BI Tools• Tableau • Power BI • Excel VBA Domain Experience • Banking & Financial Services • Credit Risk Management • Anti-Money Laundering (AML) • Data Analytics & Reporting ✅ Mandatory Requirements• 3+ years of experience in SAS Development. • Experience in Banking or Financial Services domain. • Hands-on experience with Credit Risk or AML projects. • Strong SQL and SAS programming skills. • Experience with SAS Viya and SAS Model Studio. • Knowledge of statistical modeling and scorecard development. • Experience with Git and deployment tools. ⭐ Preferred Skills• SAS Intelligent Decisioning experience. • Python programming knowledge. • Tableau or Power BI reporting experience. • Exposure to CI/CD processes. • Production support experience in banking environments.