Ionixx Technologies - Senior Business Analyst - Loan Origination System

Department : Product Engineering LOS Domain Reports To : VP of Product / Managing Director Location : Chennai, Tamil Nadu (Work from Office) Experience : 5 to 8 Years (Preferred : NBFC / Digital Lending domain) Employment : Full-time, Permanent About the Role : Ionixx Technologies is building a next-generation product for the Indian NBFC segment, featuring dynamic field configuration, dynamic workflow engines, and multi-loan-product support. We are looking for a Senior Business Analyst with deep domain expertise in lending operations, NBFC regulatory frameworks, and digital lending platforms to drive the product vision from a domain standpoint. Leveraging our existing experience developing and operating the Ufin NBFC platform, this role will bridge domain knowledge with product engineering to build a market-leading, configurable LOS product. Key Responsibilities : - Conduct deep-dive analysis of NBFC lending workflows across loan products (personal loans, business loans, LAP, gold loans, microfinance, vehicle finance) and map end-to-end origination processes from lead capture to disbursement. - Identify gaps and inefficiencies in existing NBFC solutions in the Indian market (including Ufin) and translate findings into product requirements for the new dynamic NBFC platform. - Define and document functional requirements for dynamic field configuration, rule-based workflow engines, multi-product loan lifecycle management, and credit decisioning integrations. - Work closely with RBI/NHB regulatory guidelines to ensure the LOS platform supports compliance requirements including KYC/CKYC, CERSAI, bureau integrations (CIBIL, Experian, CRIF), and digital lending norms (DLG framework). - Collaborate with UX designers and engineering teams to create user stories, wireframes, acceptance criteria, and sprint-ready backlogs. - Map third-party integration requirements : payment gateways (NACH, eMandate), eSign/eStamp, Account Aggregator (AA) framework, GST verification, PAN/Aadhaar validation, and bureau pull APIs. - Benchmark competitor LOS platforms (Nucleus FinnOne, Newgen OmniFlow, LendFoundry, CloudBankin, etc.) and document feature-gap analysis. - Conduct stakeholder workshops with NBFC operations teams to gather requirements and validate product-market fit for different NBFC segments (small, mid-size, large). - Define data models for configurable loan products, fee structures, interest calculation methods (flat, reducing, hybrid), and repayment schedules. - Identify and define AI/ML adoption opportunities across the loan origination lifecycle to drastically reduce Turn Around Time (TAT) including AI-powered document parsing (OCR + NLP for KYC/income documents), automated credit decisioning models, intelligent lead scoring and prioritisation, and predictive risk assessment. - Design requirements for AI-driven workflow automation : auto-population of application fields from uploaded documents, smart routing of applications based on risk profile, automated deviation detection, and real-time fraud scoring at the point of origination. - Benchmark AI capabilities in competing LOS platforms and define a phased AI adoption roadmap (rule-based automation ML-assisted decisioning fully autonomous straight-through processing) to achieve sub-30-minute TAT for pre-approved segments. - Collaborate with data science and engineering teams to define training data requirements, model evaluation criteria, and human-in-the-loop override workflows for AI-assisted underwriting decisions. Required Qualifications : - 5 to 8 years of experience as a Business Analyst in BFSI / NBFC / Digital Lending / LOS domain. - Hands-on experience working with at least one Loan Origination System or Loan Management System (FinnOne, LendFoundry, OmniFlow, or similar). - Strong understanding of NBFC lending operations : credit underwriting, KYC processes, bureau integrations, disbursement workflows, and collections. - Familiarity with RBI guidelines for NBFCs, digital lending regulations, and Account Aggregator ecosystem. - Proficiency in requirements documentation : BRDs, FRDs, user stories, process flow diagrams (BPMN), and wireframing tools (Figma, Balsamiq). - Experience with API specification documentation (REST APIs, Swagger/OpenAPI) for third-party integrations. - Strong SQL skills for data analysis and validation. Preferred Qualifications : - Prior experience building or working on multi-tenant / configurable SaaS lending platforms. - Domain knowledge of multiple NBFC loan products : LAP, gold loans, microfinance (JLG/SHG), vehicle finance, MSME loans. - Understanding of India Stack (Aadhaar, UPI, DigiLocker, AA framework) and Open Credit Enablement Network (OCEN). - Experience with workflow automation tools or rule engines (Camunda, Drools, or similar). - Exposure to AI/ML use cases in lending : document OCR/NLP, credit .