Software Business Analyst

As a Software Business Analyst with 5-12 years of experience, you will play a crucial role in defining product requirements, optimizing workflows, and making data-backed decisions across lending and financial platforms. Your responsibilities will include: - Collaborating with product managers, engineering, credit, and operations teams to define and refine product requirements. - Gathering, analyzing, and documenting business requirements, BRDs, FRDs, and user stories. - Translating complex business needs into clear functional specifications and workflows. - Working closely with tech teams to ensure accurate implementation of requirements. - Performing gap analysis, impact analysis, and feasibility assessments. - Defining acceptance criteria and supporting UAT testing. - Tracking product performance using data, analytics, and user behavior insights. - Driving process improvements and automation initiatives. - Collaborating with UI/UX teams to ensure intuitive and high-conversion user journeys. - Working closely with API vendors to integrate and optimize third-party services across the lending lifecycle. - Collaborating with fintech partners to integrate loan products, aligning on business logic, APIs, and customer journeys. Required Skills & Qualifications: - 5+ years of experience as a Business Analyst in software/product companies, preferably in Fintech. - Strong understanding of lending products such as SCF, Personal Loans, EWA, BNPL, etc. - Experience with API integrations, system design, and data flows. - Proficiency in writing user stories, use cases, and process flows using BPMN/UML. - Hands-on experience with tools like JIRA, Confluence, SQL, Excel, and Postman. - Strong analytical thinking and problem-solving skills. - Experience working in Agile/Scrum environments. - Excellent communication and stakeholder management skills. Good to Have: - Experience with credit bureau data like CIBIL, Experian, CRIF, Equifax. - Understanding of FOIR, underwriting rules, and risk models. - Exposure to AI/ML-driven credit decisioning systems. - Familiarity with regulatory requirements in Fintech such as RBI guidelines and KYC. As a Software Business Analyst with 5-12 years of experience, you will play a crucial role in defining product requirements, optimizing workflows, and making data-backed decisions across lending and financial platforms. Your responsibilities will include: - Collaborating with product managers, engineering, credit, and operations teams to define and refine product requirements. - Gathering, analyzing, and documenting business requirements, BRDs, FRDs, and user stories. - Translating complex business needs into clear functional specifications and workflows. - Working closely with tech teams to ensure accurate implementation of requirements. - Performing gap analysis, impact analysis, and feasibility assessments. - Defining acceptance criteria and supporting UAT testing. - Tracking product performance using data, analytics, and user behavior insights. - Driving process improvements and automation initiatives. - Collaborating with UI/UX teams to ensure intuitive and high-conversion user journeys. - Working closely with API vendors to integrate and optimize third-party services across the lending lifecycle. - Collaborating with fintech partners to integrate loan products, aligning on business logic, APIs, and customer journeys. Required Skills & Qualifications: - 5+ years of experience as a Business Analyst in software/product companies, preferably in Fintech. - Strong understanding of lending products such as SCF, Personal Loans, EWA, BNPL, etc. - Experience with API integrations, system design, and data flows. - Proficiency in writing user stories, use cases, and process flows using BPMN/UML. - Hands-on experience with tools like JIRA, Confluence, SQL, Excel, and Postman. - Strong analytical thinking and problem-solving skills. - Experience working in Agile/Scrum environments. - Excellent communication and stakeholder management skills. Good to Have: - Experience with credit bureau data like CIBIL, Experian, CRIF, Equifax. - Understanding of FOIR, underwriting rules, and risk models. - Exposure to AI/ML-driven credit decisioning systems. - Familiarity with regulatory requirements in Fintech such as RBI guidelines and KYC.