Job Title: SAS Developer EFM & SAS ID
Experience: 610 Years
Location: (Pune/ Hybrid / Remote as applicable)
Domain: Banking / Financial Services (Preferred)
Job Description
We 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 Responsibilities
- Design, 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 & Qualifications
- 5+ years of hands-on SAS development experience
- Strong expertise in:
- SAS Enterprise Fraud Management (EFM)
- SAS Intelligent Decisioning (SAS ID)
- Proficiency in:
- Base SAS, SAS Macros, SAS SQL
- SAS Studio / SAS Management Console
- Experience working with fraud risk, payments, or financial crime systems
- Strong understanding of data structures, ETL processes, and batch processing
- Experience supporting production systems and handling incidents
- Excellent analytical, problem-solving, and communication skills
Good to Have
- Experience in banking or financial services domain
- Knowledge of payments, fraud, AML, or risk systems
- Exposure to SAS Viya
- Experience with API integrations
- Familiarity with Agile/Scrum methodologies
- Prior experience in regulatory or audit-driven environments
Preferred Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- SAS Certifications (EFM / ID / Base SAS)
