RRS helps banks automate generation of regulatory reports on Credit Risk, Market Risk, Liquidity Risk, Interest Rate Risk and Operational Risk. This framework allows regulatory report generation for multiple jurisdictions, adhering to country wise specifics as formulated by the regulatory bodies of that country. RRS interacts with multiple transaction and analytical systems to extract data required to generate the reports. Data extraction tool is configured to automatically fetch end of day data on a daily basis.



As organizations expand and begin to operate in multiple markets, the complexity of financial management grows exponentially. Multiple bank relationships and financial instruments need to be constantly evaluated to achieve the best possible outcomes. Achieving it manually is no longer an option in today’s world.

Surya’s CorpTreasury system provides an integrated way to manage treasury operations. This helps to improve processing efficiency while monitoring, managing and controlling risk.



A varied range of investment strategies is key to differentiate from competition, while keeping operations lean, efficient and stable. Scaling up is a definite challenge. Multi-asset, multi-currency risk analytics and reporting are essential to manage portfolios effectively and comply with customer requests of reporting.

Portfolio risk measurement and reporting requires sophisticated statistical tools and analytics. For asset managers, Surya offers R-Control, a solution that supports investment portfolios with complete risk management and integrated reporting. R-Control evaluates risks of multi-asset class portfolios using multiple risk measurements. It provides information on holdings and risks of portfolios by strategy, investment class, investment type, portfolio manager and currency.

One View


Executive Dashboard accumulates Risk, Return and Capital data that are spread across multiple disparate systems.

Surya has developed OneView, a platform that consolidates risk, return and capital information from multiple data sources into an integrated executive dashboard.



Credit and counterparty exposure accounts for a significant portion of a bank’s risk, and are inherent in any bank’s credit portfolio. Therefore, the need to understand, analyze, evaluate and disseminate information is critical to effective credit risk management.
Surya’s Risk Analysis and Credit Evaluation (RACE) solution helps banks compute probability of default (PD), and map PD to a range of rates to arrive at credit ratings. Surya’s PD model is a non-parametric model based on study of 4,800 companies with 10, 5, 3, 2 and 1 years’ data. Statistical pattern recognition methods have been used to arrive at a purely quantitative PD. In addition, the quantitative PD can be modified using a qualitative model, specific to a bank.

RACE, besides being a PD provider, offers workflow for credit risk workflow management between proposal generators, credit risk officers and management.



Financial budgeting and forecasting are important pillars for any enterprise, especially for banks. Interest Income and Expenses are key factors driving growth and stability, besides other fee based income and expenses. Hence a budgeting and forecasting system is critical to financial control.

Surya offers a Budgeting and Forecasting System (BFS) that helps to budget, forecast and measure performance of businesses, with automation of actual data collection and management. BFS prepares budgets, plans benchmarks, forecasts costs & revenues and compares actual performance with budgets and benchmarks.



Increased international regulation and regulatory fines have intensified the focus on AML specific activities at banks across the globe. Today’s AML program managers need to keep up with more sophisticated criminal schemes, evolving regulations, increased scrutiny, new banking products and interaction channels, and of course, new technology.

Surya’s AML system is a customer identity management and an ongoing transaction monitoring system. System provides comprehensive suspicious activity detection, a simplified workflow for case management, reduced false positives and easy integration for management and regulatory reporting.



Geographically diverse banks have fixed assets distributed across locations. Depreciation calculations using various methods and transfers between locations create a unique challenge.
Surya addresses these fundamental challenges and unique requirements of such diverse banks with its Fixed Asset Management (FAM) solution. A centralized web-based system, FAM provides end-to-end tracking of a fixed asset throughout its lifecycle- from asset registration and maintenance, to depreciation, sale and write-off.



Basel III imposes stricter standards as compared to existing Basel II capital adequacy requirements in order to create greater resilience at individual bank level and reduce systemic risk. For banks, this implies a new method of calculation of capital in a timely and effective manner.

Surya offers Capital Adequacy and Risk Evaluation (CARE), a regulatory risk management solution that provides banks with a flexible framework that can be used to progressively adopt to capital adequacy regulations (Basel II and Basel III) as banks progresses and systems evolve and mature. CARE uses a rule engine framework to ensure that changes have localized impact on one type of claims class rather than the entire system, hence reducing computational risks. Stress test module helps to calculate RWA and capital requirements at various stress levels.



FTP is a management accounting technique to understand where profits are emanating such as high yield assets and low cost liabilities, and to help enforce bank’s strategy with operational users. A good FTP system is a must for reasonably sized banks with multiple strategies.

Surya’s FTP product provides banks with ability to measure and evaluate net interest margin and compute profitability across assets and liabilities. It takes complexity out of FTP calculation by considering embedded market risk, using multiple transfer pricing methods.

It takes into consideration accounts, customers, products and business lines factors by facilitating assignment of distinct FTP rates for various pools determined by product and customer mix and dimensions like product groups and customer groups. Dimensions may be extended further depending upon the requirements.