Comprehensive system to proactively monitor and manage credit risk

Rising NPAs pose a serious challenge to the financial sector, leading to weakening of credit growth. NPAs could be a result of negative business results, fraudulent behavior or adverse macro-economic condition, however, the impact of such NPAs pose a direct threat not only to financial institution’s top/bottom line but also its reputation. With the external factors playing the causal role, gaps in proactive governance and technological innovation have been identified as a major impediment to identify NPAs. Though, major inroads have been made into pre-facto analysis of borrowers; post-facto monitoring to regularly assess financial condition of borrowers and changing economic situations, needs a complete overhaul.

From a regulatory standpoint, RBI came up with a framework for early detection, prevention and reporting of financial stress and frauds in 2016. However, the biggest challenge in implementing such measures, remains the availability of data and eventual amalgamation of internal and external data. Some financial institutions have made significant advances on the data front, however, bringing the operational efficiency to manage EWS and recommend actions internally, still remains elusive.

Verisk Financial EWS helps banks not only to solve the data puzzle, with availability/amalgamation of internal and external data on the same platform, but also to incorporate a complete workflow driven solution for collaboration across the hierarchy and business units. Users can continuously monitor risk profiles of customers through deeper analysis of the underlying contributing factors derived from internal and external data using advanced machine learning models. A recommendation engine also helps to flag accounts for corrective actions a transparent and auditable manner.

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Solutions Coverage and Benefits

Holistic Data

Holistic Data

Combine bank's data with multiple sources of external data such as MCA, Ratings, Credit Bureau, Legal, etc., and external financial data (Accounts and Transactions) through Account Aggregators

Customer 360 view

Customer 360 view

Holistic data provides single view of customer including cross holdings and associated companies.

Continuous Monitoring

Continuous Monitoring

Monitor loan portfolio and red flag EWS based on the risk profile of customers on an ongoing basis.

Deeper Analysis

Deeper Analysis

Continuous self-learning of new emerging patterns through Machine Learning models.

Easy Adoption

Easy Adoption

Flexible data sharing strategies and deployments options.

Cost Effective

Cost Effective

Lower operational overheads and significant cost benefits.

Highlights of the Solution

Portfolio Analyzer

Portfolio Analyzer

Create and analyze your custom portfolio on multiple dimensions like industry, product, customer size, etc.

Company Risk Score

Company Risk Score

Assess customer financial health through ML model driven risk score

Pre-packaged EWS

Pre-packaged EWS

Pre-packaged EWS published by RBI and DFS along with ability to add custom EWS.

Configurability

Configurability

Configure key parameters such as weightage, threshold, etc. of EWS to suit your own needs and scenarios.

Workflow Management and Audit

Workflow Management and Audit

Configurable internal workflows to assign, track and capture responses

Alerts and Reminders

Alerts and Reminders

Continuous Monitoring through Alerts and Reminders.

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