HORIZON GLOBAL SERVICES PTE. LTD. is hiring for a SOFTWARE ANALYST internship — a 12-month, on-site Software Engineering role based in Singapore. It is an unpaid internship. It is open to university students, typically in Year 2–4. Applicants with experience in Credit Risk Management, Quality Assessment, ETL Tools, Anti Money Laundering, and Mathematics are a strong fit.
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About this role
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 SkillsSAS 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.
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