Early Warning System
Always-on to detect early warning signs of incipient credit fraud or stress
Stay alert and efficient with EWS
The core philosophy of the Credit Risk suite is that risk needs to be monitored at all times and not just a point in time. At the heart of this is an Early Warning System or EWS that keeps eyes and ears open to early warning indicators, and helps bankers identify potential stress or fraud in borrower accounts much before the event of default (when it is too late).
Maintaining borrower health by monitoring credit portfolios of retail and corporate borrowers at granular level
Has in-built capabilities to integrate to a wide range of systems using legacy methods (such as ETL, DB Link, Flat file upload etc.) or latest methods including APIs, streaming feeds etc
Python-based AI/ML modeling framework
Extensively uses Python for proprietary AI/ML based models to detect fraud patterns, minimize false positives and quantify risk through rule based scoring of customers. The python environment can be used to host bank’s internally developed models as well
Parameter-based EWI management, and pre-built library of 170 early warning indicators for early detection of risk
Different methods to help decision makers consume the insights generated, including workflows, reports, dashboards and notifications
Corrective action planning
Enabled using criticality-based traffic light approach for taking timely and targeted mitigating actions such as exposure reduction, account exit, collateral enhancement, etc
Modularized business services approach
Facilitates rapid phase-wise rollout and improved fault tolerance
Web and mobile based access
Access to a centrally deployed solution for easy monitoring of massive portfolios of corporate, SME and retail borrowers
Improved asset quality
Through proactive and real-time identification of borrowers with incipient stress or potential loan frauds
Accelerated time to market
By way of a ready-to-deploy framework with pre-built connectors
Through the identification of stressed accounts in line with regulatory norms (e.g. RBI, DFS for India)
Credit growth and profitability
Through a credit risk solution that brings in global best practices and meets the needs of credit risk managers
Helps maintain competitive advantage
Through a solution that allows scaling up credit risk capabilities on demand
Lower Total Cost of Ownership
Through a lightweight platform that requires minimal customization and supports cloud and on premise deployment
rt360 Early Warning System
Identify credit risks proactively leveraging end-to-end predictive analytics.
rt360 Model Risk Management
Global regulators in recent times have paid an increasing attention to managing risks arising from extensive use of models in decision making.
rt360 Asset Liability Management
Growing regulatory mandates by the Bank of International Settlements’ (BIS) demand automated systems for robust asset-liability management.
rt360 RAROC Calculator
As you focus on credit growth for your bank, capital allocation and pricing is critical to maximizing profitability and driving sustainable growth
rt360 Expected Credit Loss
With the introduction of the global International Financial Reporting Standards-9 (IFRS 9) and its equivalent Indian Accounting Standards (IND AS) 109, financial institutions are adopting scientific methods for computing credit losses.
rt360 is a risk management product suite to manage the entire risk portfolio of banks and financial institutions that includes credit risk, capital allocation, pricing risk, liquidity risk, model risk and operational risk.
rt360 is designed by bankers, risk practitioners and technology specialists with a Business First, Technology Next approach, empowering banks and financial institutions to focus on their credit growth and profitability while managing their risks. The product is fully designed and made in India to address the complexities of the financial sector globally. The suite comprises of five distinct products to manage each of the risk portfolio.