SK Finance is a 31-year-old public NBFC managing ₹15,755 crore in assets across 700+ branches in 12 states and 2 union territories, predominantly in rural and semi-urban areas. The tech stack—Python, Databricks, Oracle Fusion, Salesforce, ServiceNow—reflects an organization modernizing its data and operations infrastructure; active projects on enterprise data platforms and scalable ETL pipelines confirm a shift toward data-driven underwriting and portfolio management. Pain points around data governance, RBI compliance, and conversion optimization suggest they're scaling lending operations while managing regulatory complexity.
SK Finance Limited is a Middle Layer NBFC founded in 1994, headquartered in Jaipur, Rajasthan. The company operates 700+ branches across North, West, and Central India, serving unbanked and underbanked populations with vehicle loans, small-business loans, and personal loans. With 12,800+ employees and ₹15,755 crore AUM, SK Finance targets underserved geographies where traditional banking penetration is limited. Backed by institutional investors including Norwest Venture Partners, TPG Capital, and Baring India, the company maintains a focus on credit quality and underwriting discipline while expanding lending capacity in its core markets.
Primary stack includes Python, Databricks, Oracle Fusion, Salesforce, ServiceNow, Tableau, and Power BI—used for analytics, ERP, CRM, and portfolio management across the lending operations.
Jaipur, Rajasthan. The company operates 700+ branches across 12 states and 2 union territories in North, West, and Central India.
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SK Finance Ltd's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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