Cutting NPAs from 6% to 1.5% for Leading Fintech Services Provider

A top fintech company in digital lending, serving 1M+ users across regions. Known for customer-focused solutions, they’ve scaled loan disbursals to $60M monthly, driving growth through innovation and seamless financial services.

The Problem Statement

The client needed a real-time solution for monitoring transactions to detect and prevent fraud. Additionally, they required a scalable data warehouse for credit risk assessment and improved loan disbursal processes.

Challenges

Real-time detection of fraudulent activities during transactions.

Building a scalable data warehouse for credit risk analysis.

Improving loan disbursal processes through better data insights.

Seamless migration from OLTP to OLAP systems with minimal downtime.

Solutions

To address these real-time challenges, the client needed a more efficient and scalable system. This required innovative technologies for improved data processing, fraud prevention, and seamless operations as their customer base and transaction volumes expanded.

Implemented Redis Streams for instant fraud detection and real-time data monitoring.

Leveraged S3 and Athena for scalable, cost-effective data storage and querying, ensuring efficient data modeling.

Used AWS DMS (Database Migration Service) to seamlessly migrate data from OLTP RDS to OLAP Redshift with minimal downtime.

Integrated Power BI for advanced data visualization, empowering the team with insightful analytics and improved decision-making.

Outcomes

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Reduced NPAs from 6% to 1.5%, improving credit risk management.

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Achieved 99.99% system uptime, enhancing stability and resilience.

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Migrated 300+ cron jobs to Airflow, streamlining task scheduling and management.

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Scaled tech infrastructure, increasing loan disbursals from $100K to $60M per month, driving business growth.

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