Senior Associate

The opportunity Senior Associate in the Certification Team (Non-Cards) at NPCI will be responsible for ensuring the compliance, app-testing, and certification of UPI, IMPS, AePS, IMPS, NeTC products as per NPCI standards. Expected to work closely with Payers, Payee, TPAP and third-party vendors to troubleshoot and resolve reported issues.

Knowledge on API based tools. Job Details: Role Name: Senior Associate Onboarding Year of experience: 2 to 6 years Location: Chennai Education: BE/BTech Requirements Job details

• Collaboration with banks and payment partners, and internal stakeholders ensuring seamless product validation before market deployment.
• Execute end-to-end certification testing for NPCI Products and payment applications in-line with NPCI guidelines.
• Execute test cases, log defects, and ensure timely resolution.
• Maintain certification documentation and provide reports for audits.
• Execute test cases, log defects, and ensure timely resolution.
• Implement automation as required in the certification process
• Manage end to end certification activities across all products
• Co-ordination with internal departments for ensuring smooth business operations.
• Follow and bring in industry best practices for certifications. Key skills
• Good legal technical skills in drafting, reviewing documentation and carrying out research
• Excellent communication, co-ordination and project management skills
• Strong knowledge of PCI standards, APIs, and payment terminologies.
• Hands-on experience with testing tools (e.g., Postman) and defect life cycle
• Ability to work in a structured, process-driven environment.
• Ability to handle multiple certifications simultaneously.
• Knowledge of Artificial Intelligence
• Knowledge (or) maintenance expertise of open stack servers Good to Have:
• Good understating of Java, Python, .net and DB’s
• Exposure to NPCI’s certification processes or payment scheme testing
• Ability to create SOP’s and Technical documentations AI skills
• Ability to design the high-level architecture of an AI system including data ingestion, feature stores.
• Effectively handling the large datasets.
• Secure AI infrastructure – Federated Learning & Differential Privacy to protect PII(Personally Identifiable Information).
• Fraud & Anti-Money Laundering using AI.