In the intricate realm of banking, where stability is paramount, capital adequacy stands as a cornerstone of financial resilience. Particularly during economic downturns, the capacity of banks to weather storms relies heavily on their ability to maintain adequate capital buffers. Central to this concept is the Risk Adjusted Capital Ratio (RACR), a metric that serves as a barometer of a bank's financial health, especially when economic tides turn turbulent.

**Capital Adequacy: Pillar of Financial Stability**

At its core, capital adequacy refers to the sufficiency of a bank's capital reserves to absorb potential losses and safeguard against insolvency. Essentially, it reflects the ability of a bank to withstand adverse shocks and fulfil its financial obligations even in the face of significant disruptions. Capital adequacy is not merely a regulatory requirement but a fundamental principle that underpins the trust and confidence of depositors, investors, and counterparties in the banking system.


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**Understanding the Risk Adjusted Capital Ratio (RACR)**

The Risk Adjusted Capital Ratio (RACR) is a crucial metric used to assess a bank's capital adequacy by taking into account the risk inherent in its assets. Unlike simple capital ratios that consider total capital against total assets, the RACR employs a more nuanced approach by assigning risk weights to different categories of assets based on their perceived riskiness. This calculation yields a more accurate reflection of the capital cushion available to absorb potential losses. A higher RACR indicates a greater capital cushion available to absorb losses, thereby enhancing confidence in the bank's ability to withstand adverse shocks.

**The Significance of Surya’s RWA Calculation**

The RACR calculation covers the concept of Risk-Weighted Assets (RWA), which forms the denominator of the ratio. RWA represents the total assets of a bank adjusted for their respective risk levels, reflecting the potential impact of credit, market, and operational risks on the bank's balance sheet. By assigning higher risk weights to riskier assets such as loans to unrated borrowers or investments in volatile markets, the RWA calculation ensures a more realistic assessment of a bank's risk exposure.

**Striking a Balance: Capital Adequacy and Business Growth**

While maintaining a robust RACR is essential for financial stability, banks must also strike a balance between capital adequacy and business growth. Stricter capital requirements imposed by regulators may constrain the lending capacity and profitability of banks, potentially stifling economic growth. 

**Conclusion**

In conclusion, the Risk Adjusted Capital Ratio stands as a vital metric for gauging the financial health of banks, particularly during economic downturns by ensuring the availability of adequate capital buffers and fostering transparency in risk management practices.


At its core, capital adequacy refers to the sufficiency of a bank's capital reserves to absorb potential losses and safeguard against insolvency. Essentially, it reflects the ability of a bank to withstand adverse shocks and fulfil its financial obligations even in the face of significant disruptions. Capital adequacy is not merely a regulatory requirement but a fundamental principle that underpins the trust and confidence of depositors, investors, and counterparties in the banking system.

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Navigating Financial Storms: Understanding Capital Adequacy and the Vital Role of Risk-Weighted Asset Calculation

In the intricate world of modern banking, where profitability reigns supreme and understanding the nuances of profitability is very much crucial for sustainable growth and strategic decision-making. Amidst the vast array of financial metrics and performance indicators, Funds Transfer Pricing (FTP) emerges as a powerful tool, with a sophisticated internal allocation and measurement mechanism that serves as a guiding light for banks to delve deep into the profitability landscape and identify their best-performing branches with precision and insight.

**Unlocking Profitability Insights with Funds Transfer Pricing (FTP)**

Funds Transfer Pricing (FTP) is a sophisticated mechanism employed by banks and financial institutions to allocate and measure the profitability of funds transferred between different business units and product lines within the organization. At its core, FTP enables banks to assign economic value to the funds they use and generate, facilitating a granular analysis of profitability across various dimensions, including branches, product lines, customer relationships, and even individual accounts.

**Internal Allocation and Measurement**

Central to the concept of Funds Transfer Pricing (FTP) is the notion of internal allocation and measurement. By assigning transfer pricing rates to funds based on their maturity, currency, and risk characteristics, banks and financial institutions can effectively determine the economic value generated by each lending and borrowing unit within the organization. This granular approach enables banks and financial institutions to assess not only revenue generation but also the associated costs and risks, providing a comprehensive view of profitability.

**Measuring Profitability at the Lowest Level**

One of the key strengths of Surya’s Funds Transfer Pricing (FTP) lies in its ability to provide profitability insights at the lowest level of granularity, down to individual accounts. By assigning transfer pricing rates to funds based on their maturity, currency, and risk characteristics, banks and financial institutions can accurately capture the contribution of each account to overall profitability, regardless of its size or complexity.


![Know Your Best Performing Branches SFTP Content.webp](https://surya-soft.surya-products.com/strapi/uploads/Know_Your_Best_Performing_Branches_SFTP_Content_8da2f487c6.webp)


**Unveiling Best Performing Branches**

In the quest to identify best performing branches, Surya’s FTP emerges as a game-changer, offering banks and financial institutions unparalleled visibility into the profitability drivers at play. One of the primary functions of Funds Transfer Pricing (FTP) is to facilitate the pricing of incremental loans, investments, and deposits within the organization. By applying transfer pricing rates that reflect the cost of funds and associated risks, banks and financial institutions can ensure that pricing decisions are aligned with profitability objectives while taking into account factors such as market conditions, liquidity requirements, and credit risk. From these reports, you can evaluate the performance of each branch in terms of both revenue generation and cost efficiency, enabling them to pinpoint areas of strength and opportunities for improvement.

**Enhancing Performance Management**

Armed with insights from Funds Transfer Pricing (FTP), and by comparing the FTP-adjusted profitability of different business units banks can enhance their performance management practices by aligning incentives and resource allocation strategies with branch-level profitability objectives. By incentivizing branches based on their contribution to overall profitability rather than just revenue generation, banks and financial institutions can foster a culture of accountability and drive sustainable growth across the organization.

**Empowering Strategic Decision-Making**

Ultimately, Surya’s Funds Transfer Pricing (FTP) empowers banks and financial institutions to make informed strategic decisions by providing actionable insights into branch performance and profitability dynamics. Whether it's optimizing branch networks, reallocating resources, or refining product offerings, you can leverage FTP-driven analytics to steer the business towards greater profitability and long-term success.

**Conclusion**

In an era defined by heightened competition and evolving customer demands, the ability to accurately measure and manage profitability is more critical than ever for banks and financial institutions. With Surya’s FTP Module, you can unlock a treasure trove of insights into branch performance, enabling them to identify their best-performing branches, optimize resource allocation, and drive sustainable growth in an increasingly complex and dynamic market environment.
In fact, knowing your best performing branches by Surya’s Funds Transfer Pricing Module isn't just about maximizing revenue; it's about understanding the true economic value generated by each branch and leveraging that knowledge to chart a course towards profitability and success.


Funds Transfer Pricing (FTP) is a sophisticated mechanism employed by banks and financial institutions to allocate and measure the profitability of funds transferred between different business units and product lines within the organization. At its core, FTP enables banks to assign economic value to the funds they use and generate, facilitating a granular analysis of profitability across various dimensions, including branches, product lines, customer relationships, and even individual accounts.

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Know Your Best Performing Branches by Surya’s Funds Transfer Pricing (FTP) 

In the ever-evolving banking sector, managing interest rate risk remains a critical challenge for financial institutions. Fluctuating interest rates can have a profound impact on a bank's profitability, liquidity, and overall financial well-being. Asset Liability Management (ALM) systems serve as a crucial tool in assisting banks to navigate through uncertainties and make well-informed decisions to effectively mitigate risks. By leveraging ALM systems, banks can enhance their risk management practices and ensure a more stable financial future.

**The Challenges Faced**

In the current economic landscape, interest rates are constantly changing due to a multitude of factors. These fluctuations can significantly impact banks by influencing their net interest margins, cash flows, and the overall value of their assets and liabilities. It is crucial for us to stay informed and vigilant in monitoring these changes to effectively manage risks and make informed decisions. 

By understanding the implications of interest rate fluctuations, we can better position ourselves to navigate through these challenging times and ensure the stability and success of our operations.


![Role of Asset LMS Content.webp](https://surya-soft.surya-products.com/strapi/uploads/Role_of_Asset_LMS_Content_9416381cc3.webp)

**How ALM Systems Help Banks**

Risk Measurement and Analysis: ALM systems enable banks to assess their exposure to interest rate risk by analyzing the maturity profiles and repricing characteristics of their assets and liabilities. By conducting scenario analysis and stress testing, banks can evaluate the potential impact of different interest rate scenarios on their balance sheets.

•	Optimizing Balance Sheet Structure: ALM systems assist banks in optimizing their balance sheet structure to align with their risk tolerance and business objectives. By strategically managing the mix of fixed-rate and floating-rate assets and liabilities, banks can better position themselves to withstand interest rate fluctuations

•	Liquidity Management: In addition to interest rate risk, ALM systems also help banks manage liquidity risk effectively. By monitoring cash flows and liquidity ratios, banks can ensure they have sufficient funds to meet their obligations under different interest rate scenarios.

•	Asset and Liability Matching: ALM systems facilitate asset and liability matching, where banks match the maturity and cash flow characteristics of their assets and liabilities to minimize interest rate risk. This strategy helps banks reduce their exposure to changes in interest rates by ensuring that the repricing of assets and liabilities occurs at similar intervals.

•	Scenario Planning and Stress Testing: ALM systems enable banks to conduct scenario planning and stress testing to assess their resilience to adverse market conditions. By simulating various interest rate scenarios, banks can identify potential vulnerabilities and take proactive measures to mitigate risks

•	Regulatory Compliance: With increasing regulatory scrutiny on risk management practices, ALM systems help banks demonstrate compliance with regulatory requirements related to interest rate risk management. By maintaining accurate records and reporting capabilities, banks can ensure transparency and accountability in their risk management processes.

**Conclusion**

In today's volatile interest rate environment, effective management of Liquidity Risk, Interest Rate Risk, Forex Risk Management, and Regulatory Reports is crucial for sustaining profitability and stability in banking operations. Surya's Asset Liability Management system (BALM) provides essential tools for banks to proactively identify, measure, and manage risk while optimizing their balance sheet structure and liquidity position. By leveraging Surya's ALM system, your bank can navigate uncertain economic conditions with confidence and resilience, enhancing long-term competitiveness and financial performance.



ALM - Asset Liability Management is a strategic approach used by banks to manage their Assets and Liabilities in a manner that ensures both liquidity and profitability while minimizing the risk. ALM involves monitoring, measuring, and managing various types of risks, including interest rate risk, liquidity risk, and market risk.

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Role of Asset Liability Management Systems in Banking

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011-HDFC Bank

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012-Axis Bank

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013-Indian Bank

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015-Saraswat Bank

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016-RBL Bank

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017-Nabard

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018-NPCI

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019-Aditya Birla Capital

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021-CSB Bank

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022-Shivalik

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024-Tata Capital

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025-AU small finance bank

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026-DCB Bank

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027-Capital Small Finance Bank

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028-The Cosmos

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029-Brac Bank

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030-DOHA Bank

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031-Oman Arab Bank

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032-NBQ

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033-IBK

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034-CUB 

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035-IZB

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036-Al Masraf

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037-FDH

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038-CDH

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040-Bank Of Kigali

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041-Afrexim Bank

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042-Mau Bank

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043-Utkarsh Small Finance Bank

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044-First Capital Bank

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045-KARUR VYSYA BANK

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046-Belstar Bank

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047-Edelweiss

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048-NKGSB

Know more about the valued clientele from across industries that we service with our comprehensive solutions.

CLIENTS SERVED

Indo Zambia Bank (IZB) is a leading financial services provider in Zambia, providing retail banking services to the communities it serves. The bank was founded in on 19 October 1984 by the Government of Zambia, and three state owned Indian banks Bank of Baroda, Bank of India and Central Bank of India IZB was using Microsoft excel for all its ALM needs but the excel based process and reporting was not sufficient to meet their management and regulatory requirements, thus IZB sought to implement an integrated ALM solution. As part of the selection process multiple ALM solutions were evaluated and BALM, Surya’s ALM solution, was shortlisted by IZB for implementation. 

**The Problems:**
- Bank didn’t have a system in place for ALM and all the reports were generated using excel by collecting data from various source systems manually. Since it was done manually there were quite a number of challenges, like:
- Collection of source data from CBS and treasury system to analysis risk and identifying maturity profile to bucket source data 
Time taken to compile data and generate regulatory & other management reporting was very high
It was not possible to prepare requisite Gap Reports on daily basis
‘What if’ scenarios could not be modelled
As most of the reports were being prepared manually, there was a high possibility of human error, and the time taken to generate these reports was unduly long. 
Al these challenges and problems made monitoring liquidity and interest rate risk an up-hill task.




**Solution Proposed**
Surya’s proposed to implement its Bank Asset and Liability Management (BALM) application, a comprehensive solution which addresses both regulatory & management 
reporting requirements. The solution is highly parametrized & has host of features like:

### **KEY DIFFERENTIATORS**

**DATA HARMONIZER**                                                                                                                                                                              
At the core of BALM solution is the Data Harmonizer platform, which provides the key handshake with external host systems. Data Harmonizer ensures data extraction, reconciliation, cash flow generation, dynamic data addition for scenario creation & finally the aggregation.

**IMPLEMENTATION APPROACH**                                                                                                                                                
Surya’s customer centric approach and agile implementation methodology ensured successful delivery and resulted in project go-live a month ahead of schedule. The entire implementation team had good knowledge of domain and business requirements.


- An unwavering attention to detail and care towards your work.
- You should be comfortable working in an agile environment. What is Needed for the Role
- You should be comfortable working in an agile environment. What is Needed for the Role
- An absolute commitment towards doing the best work of your life, while helping others to do the same. We deliver.
- You should be comfortable working in an agile environment. What is Needed for the Role
- Proven inside sales & business development experience
- Proficient with corporate web presentation tools
- Experience working with CRM Tools and proficient in Office Tools
- Excellent verbal and written communications skills

Indo Zambia Bank (IZB) was finding it difficult to meet their management and regulatory requirements with their existing manual process that allowed the risk of human error and led to excessive expenditure of time. Learn how our ALM solutions made all the difference.


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ALM Suite – Meeting Management & Regulatory Requirements of IZB Bank

# ADO.NET Native to EF6 MigrationADO.NET Native to EF6 Migration

**Why Migration?**

For .Net based projects, SQL Server may not the only choice when it comes to enterprise. Considering Microsoft licensing change from processor based to core based in 2012, its not the pocket friendly option any more and demand for other databases has increased.

That forces many of the enterprise applications to support various other databases which offer great security features and licensing options.

Due to increased demand, one has to migrate to Object-Relational Mapping(ORM) framework or equivalent implementation based on needs.

# ORM or Native Drivers:

Native Driver based implementation expects dynamic switching/multiple code bases. So, new database support may require changes to code base.

We have evaluated two ORM frameworks nHibernate and Entity Framework (EF6). We happened to choose EF6 considering better long term support for enterprise.

In my case, I have chosen EF6 with Code First approach. Code First approach enables us avoid database specific configuration files.

Performance Results (Native SQL Provider vs EF6 ORM):

1. Performance tests are run on basic identical servers.
2. ORM initialization is performed before running performance test.


**Advantages:**

- EF Providers from respective DB owners is a huge advantage

- Compiled queries with LINQ (Less run-time surprises)

- No manual SQL statements

- Automatic Query generation, which is SQL Injection Safe

**Disadvantages:**

- Performance cost is upto 2X of ADO.NET without ORM. This can be covered with few optimizations, but it does not match with native performance.

- No control over generation of query. This is acceptable, as long as support from providers is good. So far, Oracle, PostgreSQL and SQL Server seems very active and stable with latest releases.

- Even though performance results are not encouraging, its features for multiple databases and fact that we can stick to one code base encouraged us to choose EF.

### Things to be taken care during migration:

- Unlike SQL server, most other databases are case-sensitive for table names and column names. In order to overcome these issues, we choose to create tables and columns by forcing case sensitivity same as Model.

- In case your application uses Forms Authentication or similar which demands native providers. This part needs to be rewritten with a custom provider.

- Free Style SQL queries has to be converted to LINQ. No more string based queries

- Say No to most of the Stored procedures, as databases like PostgreSQL does not support them. By adding certain blocks, will force your app to stick to fewer databases.

- For .Net applications, its common to use SSRS based Reports(Written in RDL). If that is the case, one has to convert all RDL based reports to RDLC reports.

**Summary:**

Essentially, EF6 has performance overhead compared to native drivers. But, it provides a great way to code using LINQ and achieve database portability. Learning curve for EF6 is minimal for a person who is familiar with LINQ.

Happy Coding!

A story is written with experience in migrating .Net codebase from SQL Server to Multiple Databases support.

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ADO.NET Native to EF6 MigrationADO.NET Native to EF6 Migration

A subsidiary of Galeries Lafayette Group, Louis Pion is a leading retailer and fashion watch manufacturer. Headquartered in France, Louis Pion has more than 170 stores. ERP used by Louis Pion did not cater to the unique requirements of After Sales Service process of Louis Pion. Because of lack of proper system, issues faced by Louis Pion were

- Loss incurred due to lack of identification of watches that are under warranty
- Inconsistency of processes across stores
- Uncontrolled delays in servicing

To address the above issues, Louis Pion decided to custom develop an application. Multiple vendors were evaluated, Surya was selected based on the development approach, timeline and cost.

**Project Execution**




At beginning of project, Surya was provided with a high level functional specification. Basis this, Surya created a working prototype using AppBrahma tool, a Microsoft Visual Studio add-on that generates codes for online and batch programs. Once the working prototype was ready, a detailed discussion was conducted with Louis Pion key decision makers which consisted of CIO, Project Manager and IT Manager. Outcome of this discussion was a refined specification which included screen and workflow details. Prototype helped Louis Pion team to quickly finalize functional specifications.

Surya started development and test of core modules using AppBrahma. Post onsite installation, UAT was conducted iteratively by core team. Core team requested for further changes which were delivered during multiple UAT iterations. On acceptance, core team conducted training and the system went live with 5 shops, as pilot run. Few more changes were requested and delivered during this pilot run. Core team conducted training for remaining store users, post which the system went live across 170+ stores.

Louis Pion is using the After Sales Service (SAV) system for last 2 years without any major issue. Surya supports the system with continuous refinement and addition of new features, as and when identified by Louis Pion.

**Timelines**

Weeks taken to Go-Live from the contract finalization is 27, 25 weeks earlier compared to the original plan of Louis Pion.

![case_image.png](https://surya-soft.surya-products.com/strapi/uploads/case_image_09d1f1e42a.png)


### Benefits
Working prototype helped Louis Pion to conceptualize the system and Surya to understand the requirements
Since parameter screens were quickly generated using AppBrahma tool, enough time was spent to refine core modules
Faster development cycle
Iterative UAT and parallel fixes helped to stabilize system with small set of users

A subsidiary of Galeries Lafayette Group, Louis Pion is a leading retailer and fashion watch manufacturer. Headquartered in France, Louis Pion has more than 170 stores.

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Development of after sales service system for Louis Pion

Axis Bank is one of the three largest private sector banks in India, providing services to customers from SME, agriculture, retail business segment and large & mid corporates, the bank has a growing asset size of above 60 Billion USD. The Bank has a large footprint of around 2400 domestic branches. The overseas operations of the Bank are spread over seven international offices with branches at Singapore, Hong Kong, DIFC (Dubai International Financial Centre), Colombo and Shanghai and representative offices at Dubai and Abu Dhabi.

# Implementation of BALM
**Background**
After opting for a new core banking solution, Axis Bank was looking for an Asset Liability Management solution to manage and mitigate their financial risk as per the ALM guidelines from Reserve bank of India.

### Challenges
Bank didn’t have a system in place for ALM and all the reports were generated manually.

- The main challenge was to retrieve large volumes of data from Core banking and Treasury systems (Finacle Core, Finacle Treasury and FinnOne)
- The time taken to extract data and generate report manually was too long
- Segregation of ALM products into multiple sub products was not easy due to complex mapping between ALM products and General ledger accounts
- It was difficult for bank to meet the increased demand of additional reports from Regulatory authorities
- Lack of data and tools for fine tuning the Asset Liability Management system

### Solution
Axis chose Surya’s BALM as a best fit solution for asset liability management including ability for regulatory compliance and ease of use and maintenance. BALM resolved the main concern of the bank for centralization for effective and timely assessment of risk.

### A Brief on BALM implementation
BALM was implemented in Axis Bank in 2002. The project was completed in a span of 3 months. Application has been upgraded to newer version twice in last 10 years in the bank. The minor upgrades are provided periodically whenever there is demand from Central bank for new reports.

### BALM at Overseas branches
BALM is also implemented at five overseas operations of the Bank in the year 2013 – 14

- Axis Bank – Srilanka
- Axis Bank – Dubai
- Axis Bank – Singapore
- Axis Bank – Hong Kong
- Axis Bank – Shangai
The implementation of overseas operations was quick and completed in a span of 3 Months.

A BALM consolidator application is also implemented in Axis Bank India to give a consolidated view of Domestic as well as overseas ALM reports.

### Results
Surya’s solution has given Axis Bank with detailed analysis at consolidated and granular level for better decision making especially in time constrained activities.

- BALM handles large volumes of data each day with quick transformation and calculation throughput
- The entire process of data upload and report generation takes less than 4 hours in domestic operation
- For Overseas operations, data interface execution takes less than 1 hour
- With a successful interface mapping between BALM and General Ledger codes, bank is able to create new ALM products and bifurcate the existing products into multiple ALM products on its own
- For entire Term loan portfolio of bank, Loan cashflows are generated in BALM interface for segregating outstanding loans into appropriate buckets
- With consolidated BALM application in place, bank is able to get a consolidated view of domestic and overseas operations’ ALM position. The consolidator not just provides basic ALM reports but also gives all other analytics of Liquidity and Interest Rate risk at consolidated level
- The consolidation of domestic and overseas operation takes less than 10 minutes. Consolidation is done after executing individual operations
- Apart from regulatory reports, Bank is able to analyze and monitor Net Interest Income, Duration, Market Value of Equity, Several balance sheet Ratios etc.
- Compliance with regulatory norms has been enhanced with increased accuracy and consistency of data and assumptions

For more information please write to sales@surya-soft.com

Axis Bank is one of the three largest private sector banks in India, providing services to customers from SME, agriculture, retail business segment and large & mid corporates, the bank has a growing asset size of above 60 Billion USD.

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Implementation of Balm at Axis Bank

First Discount House (FDH) is a wholly owned subsidiary of FDH Financial Holdings Limited and was licensed as a discount house by the Reserve Bank of Malawi on 20 July 2001. First Discount House is currently the only Discount House in Malawi. Operational since April 2002, the company has grown into one of the strongest and most reliable Financial Services Houses in the country. Bank has an asset size of around 112 million USD.

# Implementation of SMERATE
**Background**
Malawi doesn’t have any external rating agency which provides customer rating to banks. Basel II implementation at Malawi, required banks to have an internal rating of its customers. Bank also wanted to bring an efficient loan proposal sanction process which will cater the process from proposal request, to rating till approval. This will bring down operational risk involved in proposal sanction process.

### Challenges
Developing a rating model for different types of customers is challenging due to unavailability of data for various type of customers. Manual processing and sanction of proposal usually takes many days as the document has to flow from remote branches to credit officer in the head office. Customer ratings were done manually and were not uniformly maintained for same type of customers

### Solution
Customer scoring model (SMERate) of Surya allows customer rating based on both qualitative and quantitative parameters. System allows to build multiple scoring models in the system and different types of customers can be rated using the different models. System can be setup to have credit work flow during the sanctions of credit proposals.

### A Brief on SMERATE implementation
Surya implemented SMERate along with its work flow engine in FDH. Capturing of customer rating input parameters are automated and are fed into the system when proposals are received. In addition to entry of customer, system also provided facility for the branches to upload original documents submitted by the customers and provide easy audit facility by credit offers.

Surya also helped bank to do one time rating of all its existing customers through a migration process during implementation.

### Results
- System brought efficiency in processing of proposals of both existing customers and new customers.
- Customer rating mechanism is standardized and hence brings uniformity and allows bank to take better decision
- All the supporting document for a sanctions are upload against the proposal and auditing became hassle free.
- Better control on the sanctions, as high volume sanctions are configured to have multi-level approval in the workflow.

For more information please write to sales@surya-soft.com

First Discount House (FDH) is a wholly owned subsidiary of FDH Financial Holdings Limited and was licensed as a discount house by the Reserve Bank of Malawi on 20 July 2001. First Discount House is currently the only Discount House in Malawi.

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Implementation of SMERATE at FDH Bank, Malawi

First Discount House (FDH) is a fully owned subsidiary of FDH Financial Holdings Limited and was licensed as a discount house by the Reserve Bank of Malawi on 20 July 2001. Operational since April 2002, the bank has grown into one of the strongest and most reliable Financial Services Houses in the country. 

# Implementation of CallRpt

### Background

Banks in Malawi are mandated to follow Basel II frame work as per Reserve Bank of Malawi (RBM) guidelines. Banks are requested to identify Risk weighted assets based on credit risk, operational risk, liquidity risk, interest rate risk and market risk. Based on this, capital requirement for the bank is identified. RBM also requested all the banks to submit a set of reports (Call Reports) which includes different reporting schedules for Capital, Credit risk, operational Risk, Market risk, Liquidity risk, Interest rate risk and other financial information to central bank. In total of there are around 48 reports to be submitted by the banks to central bank.

#### Challenges

Preparation of the reports as per the central bank reporting format was a challenge for the bank due to complexity of data requirement. Some of the data required were not captured in core banking or treasury systems.

Manual calculation of risk, using Basel II rules was challenging, bank used to spend weeks to calculate the risk and compile central bank reports.

#### Solution

Surya has implemented CARE (capital Adequacy and Risk Evaluation) and has used Risk Reporting Package (RRP) to support Basel II risk calculation and central bank reporting requirement. Flexible rule definition module of CARE, helped to setup Malawi specific BASEL II rules with lesser effort and the project was completed within 3 months.

### A Brief on CallRpt implementation

- CARE applications risk calculation rules were customized as per the BASEL II rules of Malawi.
- CARE application is interfaced with Surya’s ALM solution, BALM which was implemented earlier to identify liquidity    and interest risk.
- Risk report package allowed Surya to configure complex call reporting requirements of the bank. Due to unavailability of customer rating information in the core banking system, Surya interfaced CARE application with SMERate, Surya’s customer rating application.

### Results


- Generation of reports with a click of a button, with options to maintain and extract history reports from the system
- All Call reports are downloaded into a single MS Excel with each report in different work sheets as required by RBM. Downloaded reports are compatible for uploading into RBM website without any manual intervention.
- System is interfaced with core banking system (T24). An entry/upload system also delivered to capture manual data classification.
- Interfaced system with BALM for liquidity risk and interest rate risk
- Interfaced system with customer rating system (SME Rate) to get internal rating of the customer
- Entire processing of call report interface, rules and report batches are completed within 45 minutes
- Bank can now measure its risk weighted assets in better way which helping bank with better accurate classification of Tier I and Tier II capital
For more information please write to sales@surya-soft.com

First Discount House (FDH) is a fully owned subsidiary of FDH Financial Holdings Limited and was licensed as a discount house by the Reserve Bank of Malawi on 20 July 2001.

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Implementation of CARE and callRpt at FDH Bank, Malawi

# Implementation of BALM
**Background**

Doha bank was in search for an ALM solutions with flexibility in defining ALM Products which can handle multiple country operations. One of the main concerns for the bank was interface execution time. Because of banks earlier experience of unsuccessful ALM implementation, bank requested Surya to execute a proof of concept (POC) before finalizing Surya’s System. Surya team executed POC in 2 weeks and the project was awarded to Surya.

### Challenges
Bank didn’t have a system in place for ALM and all the reports were generated manually by collecting data from various source systems manually.

- Collection of source data from CBS and treasury system to analysis risk and identifying maturity profile to bucket source data
- Time taken to compile data and generate statutory and other management reporting for individual countries and at group level
- Time taken to generate BASEL III reports for reporting requirement of consolidated currency, significant currency for different countries’ operations as per respective central bank guidelines.

#### Solution
Surya has implemented its ALM solution, BALM at Doha bank at its individual geographic operations and consolidated operation. BASEL III module of the application automated the statutory reporting requirement. This project was executed in the span of 2 months.

### A Brief on BALM implementation
BALM implementation was started in the month of June 2014 and was completed for its Doha, Kuwait, UAE and consolidated operations within 2.5 months. Implementation of BASEL III module for Qatar central bank reporting was implemented in the span of 1 month. Surya implemented BASEL III for Kuwait after Kuwait central bank finalized the guidelines in March 2015.


### Results
- Liquidity and interest risk analytical functions for individual country operations and at group level
- Automation of MIS reports for both management and statutory reporting
-  Generation of BASEL III reports based on each country central bank directions with audit functionality of drill down
- Entire interface processing from data generation is automated to run daily. Entire data processing interface processing takes less than an hour in contrast to previous execution time of more than 24 hours.
- Automated alerts are provided to alert users on status of execution of interfaces
- Tools are delivered to users for the reconciliation of BALM report values with source system
- Tools are provided to users to maintain the interface configuration parameters
- Surya has delivered custom MIS reports which allows bank to analyse country wise, sector wise exposure analysis


Doha bank started its operations in India in March 2015. Bank is planning for BALM implementation in Indian operation after completing implementation of core banking solution.

Incorporated in 1978, Doha Bank is one of the largest commercial banks in the State of Qatar.  Doha Bank serves individuals, corporate and institutional clients across Qatar and internationally. The Bank has total asset of USD 20.36 billion with its loan portfolio of USD 13.96 billion and deposit portfolio of USD 12.42 billion. Doha bank has banking operations in Kuwait, UAE and recently started its operations in India.

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Implementation of BALM at DOHA Bank

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