SOFTWARE ANALYST

🔑 Key Responsibilities

📈 Credit Risk & Analytics

• Develop and maintain SAS ETL pipelines, data integration processes, and workflows.
• Design and implement credit risk and behavioral scorecard solutions.
• Build, test, and validate statistical models using Logistic Regression and scorecard methodologies.
• Conduct data profiling, quality assessments, variable selection, and model validation activities.
• Analyze large datasets to support risk management and business decision-making.

🛡️ AML & Compliance

• Support SAS Anti-Money Laundering (AML) implementations and enhancements.
• Develop and maintain transaction monitoring and risk detection solutions.
• Assist in regulatory compliance reporting and risk assessments.

📊 Reporting & Visualization

• Create automated reports, dashboards, and analytical insights using SAS Visual Analytics.
• Develop business intelligence solutions using Tableau and Power BI.
• Support reporting requirements for risk, compliance, and management teams.

⚙️ Development & Production Support

• Manage source code repositories and deployment processes using Git and Jenkins.
• Support batch scheduling and workflow automation through BMC Control-M.
• Troubleshoot production issues and provide ongoing application support.
• Develop automation scripts using Python and Shell Scripting.

🤝 Stakeholder Collaboration

• Work closely with Business, Risk, Compliance, and Technology teams.
• Participate in requirements gathering, solution design, testing, and implementation activities.
• Provide technical recommendations and continuous improvement initiatives.

💻 Required Technical Skills

SAS Technologies

• SAS Base
• SAS Macro
• SAS Viya
• SAS Model Studio
• SAS Intelligent Decisioning
• SAS Anti-Money Laundering (AML)
• SAS Visual Analytics

Programming & Database

• SQL
• Python
• Shell Scripting
• Excel VBA

DevOps & Tools

• Git
• Jenkins
• BMC Control-M
• Linux

BI & Reporting

• Tableau
• Power BI
• SAS Visual Analytics

🎓 Qualifications & Experience

• Bachelor's Degree in Computer Science, Information Technology, Statistics, Mathematics, Finance, or a related field.
• Minimum 3+ years of experience in SAS development, analytics, or risk management environments.
• Hands-on experience in Credit Risk Analytics and/or AML solutions.
• Experience working within Banking & Financial Services environments.
• Strong analytical, problem-solving, and communication skills.