Auth Fraud Supervisor- Biometrics testing and analyst
National Institute for Smart Government (NISG) Auth Fraud Supervisor- Biometrics testing and analyst
Summary
Tests and analyzes biometric authentication systems (fingerprint, face, iris, voice) for a government e-governance body, covering functional, automation, anti-spoofing/liveness, and fraud analysis work. Uses Java, Python, Selenium, Postman, and JIRA/TestRail, with compliance to ISO/IEC, NIST, and UIDAI standards.
Role & responsibilities:
- Minimum 6 years of experience
- 2+ years of experience as an Application Tester / QA Analyst
- Experience in biometrics domain in testing
Technical & Analytics Skills
- Experience in biometric system testing and analysis
- Strong understanding of biometric algorithms and workflows
- Hands-on experience with biometric devices and SDKs
- Knowledge of biometric standards and protocols (ISO/IEC
19794, NIST, UIDAI, FIDO)
- Experience analyzing biometric data and performance metrics
- Familiarity with security, privacy, and data protection
principles
- Experience with defect tracking and test management tools
(JIRA, ALM, TestRail)
- Strong analytical, documentation, and communication skills
- Proficient in Java, Python, Selenium, API testing (postman) or
similar technology
- Skilled in designing, executing and managing test strategies
within Agile and waterfall models
- CI/CD tools and practices
- Strong understanding of software testing life cycle (STLC) and
defect management
- Experience testing web and/or mobile applications
- Knowledge of Agile / Scrum methodologies
- Strong analytical and problem-solving skills
- Excellent attention to detail and communication skills
Preferred Certifications / Training:
- Certified Biometrics Professional (CBP)
- ISO/IEC 30107 (Presentation Attack Detection) Training
- AI/ML or Data Annotation Certifications
- CFE / CFCS (for fraud-focused environments)
- Experience in government ID programs, fintech, banking, or
access control systems
- Knowledge of liveness detection, spoof detection, and PAD
(Presentation Attack Detection)
Functional & Manual Testing
- Test and validate biometric systems including fingerprint, face,
iris, and voice recognition
- Design and execute test cases for biometric enrollment,
authentication, and verification workflows
- Analyze biometric performance metrics such as FAR (False
Acceptance Rate), FRR (False Rejection Rate), and EER
- Perform functional, regression, interoperability, and performance
testing of biometric applications
- Validate biometric hardware devices (sensors, scanners, cameras)
and software SDKs
- onduct anti-spoofing and liveness detection testing
- Test biometric systems under various environmental conditions
(lighting, noise, angle, skin conditions, etc.)
- Ensure compliance with ISO, NIST, UIDAI, and other
biometric standards
- Analyze business and technical requirements to create test
scenarios and test cases.
Automation & Technical Testing (if applicable)
- Develop and maintain automated test scripts.
- Execute automation test suites and analyse results.
- Collaborate with developers to integrate testing into CI/CD
pipelines.
Fraud analysis
• Analysis of fraud identified wrt biometrics
• Analysis of application to find loopholes
•
Documentation & Collaboration
• Maintain fraud analysis report, test plans, and execution reports.
• Work closely with developers, product owners, and business
teams.
• Participate in Agile ceremonies (stand-ups, sprint planning,
retrospectives).
Preferred Certifications:
• ISTQB Certified Tester Foundation Level (CTFL)
• ISTQB® Advanced Test Analyst (for experienced roles)
• Certified Agile Tester (CAT)
• Certified Selenium Tester / Automation Certification (for
automation roles)
