From gold to microfinance loans, and from personal to vehicle finance loans, NBFCs have been pivotal in promoting credit growth in private lending. This is made possible by understanding the nuanced financial needs of the population. This growth has been closely linked with larger geographical branch footprint.
Being part of a newly minted, hyper-growth, Microfinance industry had its own challenges. Small ticket loans work well for tranche capital risk, volume, broader customer segments as well as other opportunities. Namely, retail procurement, short-term funding needs for medical, travel, short-term obligations, etc.
These opportunities inherit challenges of lowering turnaround time (pull-through rate) while reducing transaction costs. Moreover, a vast operational footprint of Direct Selling Agents, Physical branches, on-foot sales professionals’ risk longer feedback loop, slower adaption and disparate customer experience.
Exacting around ever-changing regulations (due to a nascent industry) and Reporting gaps for Risk, Analytics are classics.
Lack of near real-time data, blurred, in-time Fraud Detection, Product / Region Concentrations for calibration.
Inefficiencies trickled in form of Dormant Capital, High Sales costs, Charge-offs and propelled by underwhelming visibility into Customer financial behavior, consequently losing opportunities for Cross-Selling, Upselling & alerting.
The solution accounts for business continuity, regulatory compliance, and complexities of varied data sources in an unstructured ecosystem.
Incremental solution design contained risks for business continuity and compliance breach. Furthermore, iterative successes and re-factoring helped in fortifying confidence for continued augmentation.
The solution was designed into three phases:
Phase 1 - Centered around LOS; scaling application processing, reduce turnaround time while conserving resources.
Phase 2 - Pre-LMS bridge; Constructing an authenticated applicant profile by using advance integration points while managing elevated compliance in a self-managed Data Vault.
Phase 3 - Post-LMS Analytics, Risk & Leverage; Feeding near real-time from Data Vault for defined indicators for growth and risk management. Leveraging Data Vault capabilities for Syndication opportunities.
Centered around LOS; scaling application processing, reduce turnaround time while conserving resources.
Phase 1 led to designing a lean workflow with mandatory attributes for all applicants. Eliminated 44% of applications upfront without engaging advanced integration points. Reduced turnaround time for rejections, while keeping data retention formalities minimal.
4-Step Approach:
This solution subsumed top 5 rejection criteria to enhance loan origination cycle. Additionally, met ECOA, FCRA compliance.
Pre-LMS bridge; Constructing an authenticated applicant profile by using advance integration points while managing elevated compliance in a self-managed Data Vault.
Phase 2 was designed for:
3-Step Approach:
In compliance with PCI, PII, FCRA, ECOA, FATCA, phase 2 uses several sub-components for facilitation. OTP system with transactional SMS, Digital Signatures, E-Stamps, Electronic payment support, Document management, Payment gateways, unified web/mobile platforms as well as compliant in-house Data Vault for information management, reporting and enrichment purposes.
Post-LMS Analytics, Risk & Leverage; Feeding near real-time from Data Vault for defined indicators for growth and risk management. Leveraging Data Vault capabilities for Syndication opportunities.
Phase 3 was designed for:
3-Step Approach: