Getting data in one place, fully reconciled, including all balance sheet and off balance sheet positions and their contracted cash flows and anticipated cash flows in case of indeterminate maturity contracts is a crucial piece of information systems in any financial services organization and most certainly for a bank. Management and Regulatory information requirements both keep demanding lower and lower levels of granularity on one side and summaries at different groupings and hierarchies on the other side.
Considering this requirement, Surya’s Data Harmonizer has been designed differently from those of competing products and our own previous versions.


  • Enables seamless integration with bank’s transaction systems
  • Collects and processes data once and uses it for multiple applications
  • Built-in Cashflow generation programs for almost all types of Balance sheet and Off-balance sheet Products
  • Super Fast and Robust processing engines
  • Reconciliation and Data Validation tools built-in
  • Option to process adjustment entries and reruns
  • Cashflow adjustments features, examples: applying defeasance study to investments cashflows



Surya’s RECON solution is generic in nature for addressing reconciliation requirements of a Bank. It is a rule engine-based solution which provides flexibility to modify or enhance these rules to accommodate future changes. Bank Reconciliation System can work regardless of files being reconciled.


  • Automatic Reconciliation
  • Manual Reconciliation
  • Forced Reconciliation


  • Input File Configuration
  • Setup Recon Process
  • Manage Recon Rules for a Process
  • Recon Process Scheduler
  • Tolerance Maintenance
  • Accounting Entries in case of Forced Reconciliation


  • Bank Overview of Recon
  • Monitoring Tools
  • Reconciliation Statement Summary
  • Unmatched Transactions
  • Pass Transactions
  • Manual Pass Transactions
  • Rejected Transactions



PEP (Procurement, Expenditure & Premises) Software enables organizations to save time, money, and effort throughout the procure-to-pay cycle. It has a direct and immediate ability to cut costs and control spending. Surya’s PEP solution is built to handle the end-to-end spend life cycle for businesses of all sizes. It also supports sourcing and various premises management related expenses for both owned and leased properties.
Procurement module helps to automate the procurement life cycle of an asset including collection and comparison of quotations, issuing PO, Entry of “Goods Received Note” (GRN), Insurance, AMC etc. If required, it can be interfaced to the Banks payment system as well.
A dedicated Expenditure system helps to automate the process of expense payments, which will be initiated by branch and approved by Head Office with a flexible Maker-Checker hierarchy
The Premises module can help the Bank to manage its Own and Leased/Rented premises. The list of features includes capturing the property details like lease agreements, tax liabilities, payment schedule along with alerts/reminders.


  • Flexible Hierarchies: Approvals can be granted across the Organizational hierarchy with a flexible Maker-Checker framework.
  • Reporting: Reports are generated on a real time basis.
  • Efficient Purchasing: Assets purchased in an efficient and transparent manner.
  • Expense Analysis: Detailed Expense Analysis is available.
  • Premises Tracking: Track both your owned and leased properties at a click with alerts for payment dues
  • FAM Integration: Can be integrated to Surya’s Fixed Asset Management system for Round-the-clock tracking of Assets.



As per IFRS 9, Impairment Assessment is based on the concept of Expected Credit Losses (ECL). ECL are the expected credit losses that result from all possible default events over the expected life of the financial instrument.
Surya’s ECL Calculator is designed to provide ECL for the financial instruments as per IFRS 9

ECL Calculation Steps:

  • Staging : Assets are classified into 3 stages based on the changes in credit quality since initial recognition.
  • PD Models : Likelihood of a default over a particular time horizon. 12M PD models and Lifetime PD models.
  • LGD : The loss incurred from a defaulted account expressed in percentage of Exposure at the time of Default (EAD).
  • EAD : The gross exposure on a facility at the time of default of the obligor.



Interest rate risk in the banking book (IRRBB) is part of the Basel capital framework which refers to the current or prospective risk to the bank’s capital and earnings arising from adverse movements in interest rates that affect the bank’s banking book positions.
Surya’s IRRBB can be used both as a separate module or an add-on feature in the existing Surya BALM application. This model has its own set of tools, parameters, etc. but these can be easily reconciled with the BALM application.


  • Ready reconciliation with the Balance sheet is available as a feature of this product.
  • Apart from the regulatory reports, other reports are also provided which can be used for validation purposes. These reports include EVE by Buckets, EVE by LLG, etc.
  • For smaller size banks, further drill down reports at account level may also be available.
  • The IRRBB module is flexible with the parameter setting. Here, the user is able to input the rate shocks suitable to them and it is not confined to the six regulatory rate shock scenarios given.


  • Summary Reports
    1. Delta EVE and Delta NII
    2. NMD – Repricing Maturity
    3. EVE – By rate shock scenario
    4. NII – By rate shock scenario
  • Classification of incidents as per institution’s policy (usually
    driven by COSO or BASEL guidelines)
  • Granular Reports like EVE at product level, EVE by Bucket
  • Account level summary reports for smaller banks.
  • CPR/TDR balances by Bucket



Institutions in the business of banking with fiduciary responsibilities are expected to setup multiple lines of defense to safeguard public money & assets and maintain high operational standards to keep up with stakeholder’s expectations.
Surya’s OPSRISK module helps banks and other financial institutions to collect Operational Risk Incidents (Incident Register) and automate Risk Control & Self Assessment Policy (RCSA).
While RCSA framework is an ex-ante operational risk defense utility, Incident Register serves as post-facto incident logging mechanism.

RCSA framework covers:

  • Creation of Risk Libraries by listing
    1. Business Processes & associated Activities
    2. Business Risk Elements (Risk Events, Sources of Risk, Category of Risk, Risk Controls, KRIs)
  • Mapping Risk Elements to Business Processes
  • Associating mapped Business Processes with Operating Units (business verticals and support functions)
  • Defining Assessment Periods with submission deadlines
  • Submitting Self Assessments with Inherent, Control and Residual Risk Ratings
  • Identifying Control Deficiencies and submit Risk & Control Action Plans
  • Assessing overall rating of Operating Units and approve Action Plans

Incident Register on the other hand, gives support in:

  • Logging risk incidents by all personnel of the
  • Classification of incidents as per institution’s policy (usually
    driven by COSO or BASEL guidelines)
  • Supervisory review by control departments from Head Office
  • Capturing monetary losses and tracking recovery tranches
  • Setting up Corrective Action Plan with definite deadlines

Income Analysis


Income Simulation and Analysis, by modelling the future business plan, is extremely important for Banks in terms of decision making and driving business goals.
Surya’s Income Simulation enables a bank in this modelling by adding the future business from products having a determinate maturity like Loans & Deposits, and end-of-period balances for indeterminate maturity products like CASA.
A simulated income report is produced after considering the business income/expense for all existing contracts and the income/expense from new businesses based on a variety of parameters like maturity patterns and disbursal patterns.
More importantly, the plan is validated to ensure that there is no Asset-Liability gap and forces the simulator to create synthetic contracts in case of any mismatch, thus providing a realistic picture.
This simulation is then used to drive goals at the product level and acts as a powerful tool for business planning and decision-making.

  • Income Simulation: Simulate interest income/expense of indeterminate maturity products, existing contracts as well as proposed new contracts.
  • Asset-Liability Balancing: Analyze asset-liability gap by providing the financial business plan, forecast rates
  • Impact Analysis: Analyze impact on NII due to interest rate repricing of floating rate contracts and the impact due to Premature closures of Loans and Deposits
  • Scenario Analysis: Create and compare multiple simulation scenarios with rate shocks, forecast rate sets, business targets etc.

Behaviour Analysis


Cash flow projection is an important part of ALM and Balance Sheet Management, however it is difficult to project the cash flows for many of the products as they are largely dependent on the behaviour of customers which is influenced by external factors.

For such asset and liability products, financial institutions use Behavioural Models to estimate the future behaviour of assets, liabilities, and off-balance sheet items and to arrive at inputs for Liquidity Management, Interest Rate Risk Management and other Balance Sheet Management aspects.
Surya Soft’s Behavioural Analysis tool provides a comprehensive solution to financial institutions to conduct Behavioural study of its Assets and Liabilities. The tool is highly parameterized and allows the setting up of various Behavioural Analysis models to suit the nature of data and requirements of a Financial Institution.


  • Core and Volatile Analysis of NMDs
  • Premature of Rollover Analysis of TDs
  • Prepayment Analysis of Loans
  • Analysis of undrawn commitments of CCOD
  • Analysis of LC Development and BG Invocation

Basel III LR


The Basel Committee has introduced two liquidity ratios i.e. LCR & NSFR under BASEL III reforms to ensure that financial institutions have sufficient liquidity to meet their short-term and long-term obligations under stress scenarios. Surya Software’s BASEL III LR Module along with its superfast data engine enables Financial Institutions with accurate day-to-day reporting and maintaining regulatory compliance.
Data plays an important part while calculating these ratios, performing scenarios, and generating reports. Surya Software’s BASEL III LR Module along with its superfast data engine enables Financial Institutions with accurate day-to-day reporting and maintaining regulatory compliance.
Surya’s BASEL III LR solution helps banks to collect specific data and calculate these ratios for different regulatory requirements.


  • The run-off of a proportion of retail deposits (not applicable for non-deposit taking
  • A partial loss of unsecured wholesale funding capacity.
  • A partial loss of secured, short-term financing with certain collateral and
  • Additional contractual outflows that would arise from a downgrade of  Bank/FI in the public credit rating by up to three notches, including collateral posting requirements
  • Increase in market volatilities that impact the quality of collateral or potential future exposure of derivative positions and thus require larger collateral haircuts or
    additional collateral, or lead to other liquidity needs
  • Unscheduled draws on committed but unused credit and liquidity facilities that the Bank/FI has provided to its clients. The potential need for the Bank/FI to buy back debt or honour non-contractual obligations in the interest of mitigating reputational risk



SMERATE is a credit rating framework developed by Surya for retail and corporate customers of a bank. SMERATE supports creation of multiple scoring models by user bank. Models can be based on quantitative and qualitative attributes and takes into account assessment practices followed at leading banks. Models can be configured for new customers and periodic evaluation of existing customers. SMERATE comes with default models to assess corporate and retail customers. Users may build new scoring models within SMERATE. New model creation does not require IT intervention. Once a new model is created, the model gets mapped based on customer type, industry or facility requested. This ensures that any new credit application will automatically get mapped to one of the models configured in SMERATE.

Rating approach adopted is one in which financial and non-financial attributes are defined, weights given to each of them with permissible range of scores or options associated with each attribute. Process adopted is, for a loan officer of a bank to rate each attribute. When the rating is complete, it generates a credit score which is then automatically mapped to credit risk grade structure of bank.

A credit workflow is available that enables bank to incorporate subjective elements in the credit evaluation process. A file with a sub-optimum score can be reviewed by risk or senior management for a case-to-case review and approval.