Role Requirements
Experience: 10+ years of qualified experience across industries.
Education:
Bachelor’s degree in engineering with Information Technology, Computer Science, Finance, Business Administration, or related disciplines.
MBA, PGDM, CA, CFA or equivalent qualification will be an advantage.
Required Experience
10+ years of experience as a Business Analyst within Banking, Financial Services, Fintech, or Lending organizations.
Minimum 5+ years of hands-on experience working on Enterprise Loan Origination Systems.
Proven experience delivering digital lending transformation programs and platform modernization initiatives.
Experience working across Retail Lending, Microfinance, MSME Lending, Business Loans, Housing Finance, or Commercial Lending domains.
Experience in large-scale LOS implementations, migrations, upgrades, or platform re-engineering initiatives.

Functional Competencies
Deep understanding of lending lifecycle management.
Strong knowledge of underwriting and credit risk processes.
Expertise in retail, MSME, and microfinance lending products.




Experience with Business Rule Engines (BRE) and workflow management systems.
Knowledge of co-lending, embedded finance, and digital lending ecosystems.
Understanding of document management, workflow orchestration, and case management platforms.
Technical Competencies
API and system integration understanding.
REST APIs, JSON payloads, and microservices architecture awareness.
SQL proficiency for data validation and analysis.
Data mapping and interface design experience.
Knowledge of cloud-based and enterprise platform architectures.
Tools & Platforms
Jira, Confluence
Visio / Lucidchart / Draw.io
Figma
Postman
SQL Tools
BPMN Modelling Tools
LOS Platforms such as FinnOne, Newgen, Finacle LOS, Temenos, Salesforce FSC, nCino, or equivalent enterprise lending platforms.

Preferred Skills
Experience in Digital Lending Platforms and Embedded Finance ecosystems.
Knowledge of AI-driven underwriting and credit analyti

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