SAS Developer - Fraud Management

Job Summary :

We are seeking a highly skilled SAS Developer with expertise in Fraud Management to join our technology team. The ideal candidate will have a minimum of 5 years of hands-on experience in SAS development, including at least 2 years of experience in implementing SAS Fraud Management (SFM) solutions.

A strong understanding of fraud detection techniques, enterprise-level data structures, and supporting technologies such as Java, Spring Boot, and Microservices is required. Prior experience in the banking or financial services domain is highly Responsibilities :

• Develop, enhance, and maintain SAS-based applications for fraud detection and prevention.
• Design and implement SAS Fraud Management (SFM) components and integrate them with enterprise systems.
• Work with business analysts and fraud teams to gather and understand requirements and translate them into robust SAS code.
• Develop and support custom fraud rules, scorecards, and analytics within the SFM ecosystem.
• Collaborate with cross-functional teams including backend, frontend, data engineering, and risk teams to deliver integrated fraud solutions.
• Participate in the deployment and support of SAS Visual Investigator (VI) and its components.
• Leverage APIs and JSON data formats for data ingestion and system integrations.
• Write efficient SQL queries to extract, manipulate, and analyze large datasets across various data sources.
• Contribute to the design and implementation of scalable microservices in Java and Spring Boot to support fraud management modules.
• Ensure adherence to coding standards, documentation practices, version control, and security Skills Required Expertise :
• Minimum 5 years of SAS development experience in complex enterprise environments.
• Proficient in SAS Base, SAS Macros, and advanced SAS procedures.
• Minimum 2 years of hands-on experience with SAS Fraud Management (SFM).
• Experience with SAS Visual Investigator & Querying :
• Strong SQL skills for querying large-scale data sets.
• Understanding of data modeling, relational databases, and data warehousing & Integration :
• Working knowledge of Java, Spring Boot, and Microservices architecture.
• Experience working with RESTful APIs and JSON data Design & Architecture :
• Good understanding of enterprise data objects, structures, and domain modeling.
• Experience in designing scalable, high-performance fraud detection Skills :
• Proven experience in banking, financial services, or FinTech domain, especially in fraud detection or transaction monitoring systems.
• Experience in agile development environments (Scrum, Kanban).
• Strong understanding of secure coding practices and testing standards.
• Capable of reviewing and influencing system architecture and design decisions.
• Ability to benchmark tools, perform technical evaluations, and recommend optimal Skills :
• Strong leadership and team collaboration skills; able to mentor junior developers and guide project teams.
• Effective communicator with the ability to present technical concepts to senior stakeholders and business teams.
• Self-starter with the ability to work independently and take ownership of critical tasks.
• Excellent analytical and problem-solving abilities, with a keen eye for detecting patterns and anomalies in data.
• Ability to work under pressure in a fast-paced and dynamic Qualifications :
• Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or related field.
• SAS Certification (Base / Advanced / Fraud Management) is a plus.
• Familiarity with CI / CD practices and tools such as Jenkins, Git, Docker, etc.
• Exposure to cloud platforms (AWS, Azure, or GCP) for fraud system deployment is an added advantage.

(ref : hirist.tech)