Job Title

Job Title: SAS Developer – EFM & SAS IDExperience: 6–10 YearsLocation: (Pune/ Hybrid / Remote as applicable)Domain: Banking / Financial Services (Preferred)Job DescriptionWe are seeking an experienced SAS Developer with strong hands-on expertise in SAS Enterprise Fraud Management (EFM) and SAS Intelligent Decisioning (SAS ID). The candidate will work on designing, developing, and supporting fraud detection and decisioning solutions within a regulated banking environment.Key ResponsibilitiesDesign, develop, and support SAS EFM solutions for fraud detection, monitoring, and case management.Configure and implement SAS Intelligent Decisioning (SAS ID) for real-time and batch decision workflows.Develop and maintain SAS programs (Base SAS, Macros, SQL) to support fraud rules, scorecards, and analytics.Work closely with business stakeholders to translate fraud risk requirements into SAS technical solutions.Integrate SAS EFM and SAS ID with upstream and downstream systems using APIs, batch jobs, and data feeds.Support production deployments, incident resolution, and performance tuning of SAS applications.Perform data analysis and validation to ensure accuracy of fraud rules and decision models.Create and maintain technical documentation, including design specs and operational runbooks.Participate in UAT support, defect triaging, and release activities.Ensure compliance with security, audit, and regulatory standards.Required Skills & Qualifications5+ years of hands-on SAS development experienceStrong expertise in:SAS Enterprise Fraud Management (EFM)SAS Intelligent Decisioning (SAS ID)Proficiency in:Base SAS, SAS Macros, SAS SQLSAS Studio / SAS Management ConsoleExperience working with fraud risk, payments, or financial crime systemsStrong understanding of data structures, ETL processes, and batch processingExperience supporting production systems and handling incidentsExcellent analytical, problem-solving, and communication skillsGood to HaveExperience in banking or financial services domainKnowledge of payments, fraud, AML, or risk systemsExposure to SAS ViyaExperience with API integrationsFamiliarity with Agile/Scrum methodologiesPrior experience in regulatory or audit-driven environmentsPreferred QualificationsBachelor’s degree in Computer Science, Engineering, or related fieldSAS Certifications (EFM / ID / Base SAS)