First published 2026-06-27 · Updated June 27, 2026 · Guides · 12 min read
A product and compliance playbook detailing the RBI's First Loss Default Guarantee (FLDG) co-lending framework. Learn how to structure 5% DLG caps, establish secure escrow operations, and design real-time transaction-level risk ledgers.
In June 2023, the Reserve Bank of India (RBI) issued a landmark circular regulating First Loss Default Guarantee (FLDG) structures in digital lending. This circular permits fintech platforms (Lending Service Providers, or LSPs) to offer banks and NBFCs a default guarantee up to 5% of the total loan portfolio. Unregulated structures that previously took 100% credit risk are now illegal. Stacks must build strict auditing systems to keep collateral payouts within the 5% cap.
The FLDG framework establishes credit sharing between banks (which supply low-cost capital) and NBFCs or fintechs (which handle acquisition and underwriting). By placing a 5% limit on guarantees, RBI protects the financial system from systemic shocks while allowing fintechs to prove their underwriting algorithms are accurate.
To back the default guarantee, the LSP (fintech) must place collateral with the bank. This collateral takes the form of fixed deposits, cash escrow pools, or bank guarantees. When a loan defaults (typically reaching 90+ Days Past Due), the lending bank automatically pulls from the LSP's escrow account to recover the default amount.
Engineering teams must build real-time ledger APIs that track the exact collateral pool balance. When a default is registered, the payment gateway initiates the settlement transfer. The ledger must automatically calculate the total default percentage across the active portfolio to ensure it does not exceed the legal 5% DLG cap limit.
Every product engineering team must weigh integration speed against long-term operating costs and architectural flexibility. Choosing an all-in-one managed platform (like Razorpay or Firebase) minimizes initial time-to-market, which is perfect for validation phases. However, as transactional volumes scale, transitioning to decoupled or self-hosted services (like Juspay or Supabase) provides crucial advantages in billing efficiency, API customizability, and database query performance. Teams should design their codebases modularly, abstracting integration layers so that gateways or database engines can be swapped or augmented without requiring complete application rewrites.
Building high-scale software applications in India requires a deep understanding of local constraints, high latency networks, and rapid regulatory updates. Product managers and engineering leads must prioritize structural data integrity, strict audit logs for compliance, and telemetry monitoring at the edge. By designing architectures that balance user experience with regulatory requirements, platforms can successfully minimize churn, optimize transaction success rates, and build robust technology stacks that support sustainable growth in India's competitive digital economy. Keeping stacks aligned with RBI and government portals is no longer optional; it is the core foundation of product engineering.
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