From our vantage point, we have the ability to straddle opportunities in credit, investment banking and fund management. We understand the needs of our investors as well as the needs of our clients. Through a combination of our capital, products and partnerships, we connect millions of borrowers to mainstream debt investors. Our rigorous credit underwriting approach and our in-depth understanding of capital markets allows us to offer efficient debt solutions for client partners and attractive risk-return opportunities for debt investors.
Our risk management systems are customized for each sector that we operate in and are specific to each business model offering. This enables us to effectively build a diversified
portfolio and manage general risks and specific risks that are unique.
Building and retaining a team with expertise in sectors that we operate in, a strong and independent risk governance structure, well-documented risk management practices and effective implementation of such practices are the cornerstones of our risk management framework.
This has helped us effectively build a quality credit portfolio. Most of our credit risk management processes are enhanced through deep analytical models built on Nimbus. With additional data points and sources being added every year to Nimbus, the risk models continue getting robust. The risk management framework supports not just the governance structure and processes required to manage identified risks in our regular course of business but also improvement in systems and processes required to meet emerging challenges with developments in the marketplace and our understanding of the market with field monitoring and quantitative techniques.
Further, we have an understanding of risk based on historical data across various event-based shocks and their aftermath including demonetisation, natural disasters, and other socio-economic disruptions in the past decade. This helps us in strengthening the models to incorporate future risk events which may result in portfolio deterioration. For instance, the data collected during the market disruptions earlier have helped us in evaluating borrower behaviour and estimating the impact on our portfolio on account of COVID-19 and the related relief measures such as moratorium and restructuring of loans. These events have further enriched our default prediction and recovery estimation capabilities and thus equipped us to effectively manage such unpredictable events in the future.
Our quantitative analysis is based on our data lake of of 22 million granular loans, which includes: (a) loan pools we have evaluated and invested in since inception across more than structured finance transactions, and (b) 2.842.58 million retail loans disbursed by us. Additionally, secondary data from external data sources such as credit bureaus and economic research portals is used for analysing pin code level borrower characteristics such as indebtedness, collection efficiencies, sector growth trends, among others. Our risk management approach has enabled us to actively identify, monitor and manage risks towards creating strong and sustainable business operations.
Collections and delinquency management: As part of our portfolio monitoring activities, we combine data analytics with field intelligence to provide us with early warning signals on the health of assets in our portfolio. For instance, insights from our data analytics and field intelligence on socio-political stress building in Assam in Fiscal 2020 and West Bengal in Fiscal 2020-2021 helped us in scaling down our exposure to those regions. Basis the nature and severity of the risks to our assets, we intervene and take necessary action.
We have an experienced collections team which manages loan recovery and delinquencies in our portfolio. Based on the assessment of stress in a specific asset, we also take appropriate legal actions against a borrower/issuer which may include filing of criminal complaints, initiating proceedings under the IBC or civil suits for recovery.