PRODUCTS

Data
Management Reporting
and collaboration

Argus’ Data Management Platform combines Argus’s 20+ years of experience in the financial services industry and technology expertise to provide a unique, easy-to-use and efficient database to clients. The Platform has the following features:

  • State-of-the-art ETL that integrate data from a variety of data sources. Argus has built the ETL for a number of processing platforms for products in the retail bank
  • Proprietary Analytical Data Model for retail, wholesale banks, and insurance companies
  • Edit Check Engine with around 3000+ pre-built edit checks
  • Workflow Engine to that allows users to configure workflows
  • Self-service user module that helps enrich and augment data, make data adjustments, create derived dimensions and data aggregation rules to enable rapid development of use cases
  • User management module

Implementation options: On cloud or On-Premises at a client or Argus Hardware

Database options: Traditional RDBMS or Hadoop

Comprehensive
end to end regulatory
reporting solutions

Convergence is occurring in the Regulatory Reporting practices globally with the Data infrastructure aligning towards BCBS239/Automated Data Flow (ADF) and the reporting subject areas aligning with Basel norms of Liquidity Risk (LCR/NSFR), Credit Risk Management (Impaired Assets/Concentration Risk), Tax compliance (FATCA/CRS) etc.

Fintellix provides a BCBS239 aligned platform which leverages existing data infrastructure to manage Regulatory Rules & Validations, Changes to Regulatory Templates and even some user-driven data augmentation through a next-gen Data Management Platform. A business configuration engine allows Business users and analysts to apply conditions on exposures, GL items, Industry classification on granular portfolio data, using business & reporting dimensions that the Bank is already used to managing.

Moreover, a localized SME coverage coupled with centralized center of excellence to deliver best practices from multiple global engagements, has helped Argus to successfully provide regulatory reporting for more than 15 countries. Additionally, our regulatory experts monitor regulatory updates and proactively upgrade the product to help clients stay compliant with the ever changing regulatory requirements

Below is a snapshot of regulatory reporting coverage for few regions:

 

India US Saudi Arabia Mauritius Singapore Australia Kuwait
Regulator RBI, NHB, FIU FRB, CFPB, OCC SAMA BOM MAS APRA, RBA, ASIC CBK
Report Coverage Repository of >300 regulatory reports catering to the requirements of Banks, NBFCs, Housing Finance Companies, Primary Dealers etc. CCAR, DFAST, FFIEC, AML, IRRBB, FDIC, FRTB, 2052A/B Over 60 returns covering areas like the investments made, current exposures etc. including complex reports from M1 – M18 Argus BOM reporting suite covers the entire gamut of 70 odd returns in XBRL format mandated for the banks in Mauritius. The revised 610/1003 report by MAS is a significant change from the earlier submissions. Argus MAS reporting solution can help banks automate and comply with the new regulations (610 & 649) Coverage for revised EFS returns & non-supervisory regulatory requirements of ADIs & non-ADIs and incoming regulations across Exposures, SA-CCR, Impairments, etc. CBK requirements for banks to submit over 30 returns, are covered under the Argus CBK reporting suite

 

* Please reach out to us to know more about the coverage for your region

 

Highlights Features Benefits
  • Logical and Physical Data Model for all regulatory reporting requirements
  • “Excel Like” Report Template and data mapping tools
  • Source System and Database agnostic. Can be implemented on sources such as Global Data Warehouses, using databases such as traditional RDBMS or Hadoop
  • Codeless interface to maintain the Regulatory Rules and Data Validations (Edit Checks)
  • Data Integration with state-of-art ETL tools
  • UI based Business Rules Engine and Validation Check Definitions
  • N-level Drill-down, bottom and top-level adjustments
  • Powerful collaboration, document management and review tools
  • Submissions in multiple formats including XLS, XBRL, XML, CSV
  • Codeless platform implementable on existing data infrastructure
  • Complete independence from IT on all change management activities other than acquiring new data sources

 

Merchant
Analytics

Argus’ unique merchant tagging  helps  create a full view of spend and behavior enabling on-us and off-us analytics of consumers’ wallets.  Proprietary fuzzy algorithm maps transactions to store names and geo-locations, which can help in selecting the merchant/issuer partnerships as well as improving card-linked offers and improving response rates.

Interactive
MIS Reporting

The Argus Interactive MIS (AIM) Reporting packages years of data understanding to focus on the right business metrics, at the right time, to drive action, through simple  end-user tools built to fit the client’s needs.  The solution can be hosted in Argus or at a client’s site, and it delivers 42 pre-built Tableau based reports that can be further customized to specific needs.  AIM can satisfy all the MIS reporting needs across the organization – from Senior Leadership through to business analysts.

Argus’ Data Management Platform combines Argus’s 20+ years of experience in the financial services industry and technology expertise to provide a unique, easy-to-use and efficient database to clients. The Platform has the following features:

  • State-of-the-art ETL that integrate data from a variety of data sources. Argus has built the ETL for a number of processing platforms for products in the retail bank
  • Proprietary Analytical Data Model for retail, wholesale banks, and insurance companies
  • Edit Check Engine with around 3000+ pre-built edit checks
  • Workflow Engine to that allows users to configure workflows
  • Self-service user module that helps enrich and augment data, make data adjustments, create derived dimensions and data aggregation rules to enable rapid development of use cases
  • User management module

Implementation options: On cloud or On-Premises at a client or Argus Hardware

Database options: Traditional RDBMS or Hadoop

Convergence is occurring in the Regulatory Reporting practices globally with the Data infrastructure aligning towards BCBS239/Automated Data Flow (ADF) and the reporting subject areas aligning with Basel norms of Liquidity Risk (LCR/NSFR), Credit Risk Management (Impaired Assets/Concentration Risk), Tax compliance (FATCA/CRS) etc.

Fintellix provides a BCBS239 aligned platform which leverages existing data infrastructure to manage Regulatory Rules & Validations, Changes to Regulatory Templates and even some user-driven data augmentation through a next-gen Data Management Platform. A business configuration engine allows Business users and analysts to apply conditions on exposures, GL items, Industry classification on granular portfolio data, using business & reporting dimensions that the Bank is already used to managing.

Moreover, a localized SME coverage coupled with centralized center of excellence to deliver best practices from multiple global engagements, has helped Argus to successfully provide regulatory reporting for more than 15 countries. Additionally, our regulatory experts monitor regulatory updates and proactively upgrade the product to help clients stay compliant with the ever changing regulatory requirements

Below is a snapshot of regulatory reporting coverage for few regions:

 

India US Saudi Arabia Mauritius Singapore Australia Kuwait
Regulator RBI, NHB, FIU FRB, CFPB, OCC SAMA BOM MAS APRA, RBA, ASIC CBK
Report Coverage Repository of >300 regulatory reports catering to the requirements of Banks, NBFCs, Housing Finance Companies, Primary Dealers etc. CCAR, DFAST, FFIEC, AML, IRRBB, FDIC, FRTB, 2052A/B Over 60 returns covering areas like the investments made, current exposures etc. including complex reports from M1 – M18 Argus BOM reporting suite covers the entire gamut of 70 odd returns in XBRL format mandated for the banks in Mauritius. The revised 610/1003 report by MAS is a significant change from the earlier submissions. Argus MAS reporting solution can help banks automate and comply with the new regulations (610 & 649) Coverage for revised EFS returns & non-supervisory regulatory requirements of ADIs & non-ADIs and incoming regulations across Exposures, SA-CCR, Impairments, etc. CBK requirements for banks to submit over 30 returns, are covered under the Argus CBK reporting suite

 

* Please reach out to us to know more about the coverage for your region

 

Highlights Features Benefits
  • Logical and Physical Data Model for all regulatory reporting requirements
  • “Excel Like” Report Template and data mapping tools
  • Source System and Database agnostic. Can be implemented on sources such as Global Data Warehouses, using databases such as traditional RDBMS or Hadoop
  • Codeless interface to maintain the Regulatory Rules and Data Validations (Edit Checks)
  • Data Integration with state-of-art ETL tools
  • UI based Business Rules Engine and Validation Check Definitions
  • N-level Drill-down, bottom and top-level adjustments
  • Powerful collaboration, document management and review tools
  • Submissions in multiple formats including XLS, XBRL, XML, CSV
  • Codeless platform implementable on existing data infrastructure
  • Complete independence from IT on all change management activities other than acquiring new data sources

 

Argus’ unique merchant tagging  helps  create a full view of spend and behavior enabling on-us and off-us analytics of consumers’ wallets.  Proprietary fuzzy algorithm maps transactions to store names and geo-locations, which can help in selecting the merchant/issuer partnerships as well as improving card-linked offers and improving response rates.

The Argus Interactive MIS (AIM) Reporting packages years of data understanding to focus on the right business metrics, at the right time, to drive action, through simple  end-user tools built to fit the client’s needs.  The solution can be hosted in Argus or at a client’s site, and it delivers 42 pre-built Tableau based reports that can be further customized to specific needs.  AIM can satisfy all the MIS reporting needs across the organization – from Senior Leadership through to business analysts.

Risk Forecasting
and Capital Planning

Argus offers customized forecasting suite across Financial Services to align Business Strategy & Regulatory Reporting.  LookAhead tool provides a scenario based forecasting and stress testing and TrueCapital tool provides Volatility Analysis and Economic Capital.   Both tools assist on staying ahead of evolving regulatory expectations and allow the business strategy to leverage on-demand “what-if” business scenarios and strategic planning.

Wallet
Share Models

Argus offers wallet-based models and scorecards to provide customer level estimates of ‘off-us’ behaviors, including spend (total & by category), usage (transactor, revolver) and fraud/credit risk.   Argus has a proprietary method for linking credit card, current & deposit accounts, and other products to an individual – without the use of PII.  This allows customer-level views of: Wallet share and position, Competing products and Effectiveness of marketing.

On-Cloud
Credit Portfolio
Management Solution

Argus’ Credit Portfolio Management Solution is a pre-packaged cloud-based analytical solution which covers all aspects of loss provisioning, stress testing, and portfolio analytics. The solution:

  • Automated, process-oriented, error-free estimation of ALLL (CECL compliant) using the proposed solution methodologies. Identification Rules, NPV Method, Collateral Method

In-built Report Library for FAS114 calculations

  • Pre-packaged comprehensive reporting suite that covers ACL calculation & disclosures, impairment analysis, delinquency analysis, portfolio credit concentrations, portfolio trends and data quality analysis
  • Supports data import from multiple sources and creates calculation scenarios
  • Allows loan level drill down that helps to identify risks and vulnerabilities in the FI’s portfolio by assessing the impact of continuously changing economic conditions on repayments, identifying portfolio concentrations, estimating the resulting change portfolio credit quality, and finally determining the potential impact on capital

Implementation options: On cloud

Database options: NA

Argus
Loan Loss
Modeling Suite

Argus modeling suite offers a comprehensive solution to aggregate data, forecast expected credit losses, and calculate loan loss provisions.   Accurate modeling may also require the use of additional industry data to refine expected loss models, and benchmark performance.  In addition to our modeling expertise, Argus also provides comprehensive, granular industry performance and credit risk data as part of our service.  When combined with the financial institution data, these combined datasets create a powerful data asset to develop accurate loss estimation models and benchmarking. 

Argus offers a complete model development solution including data sourcing, validation, model design/build and documentation for: 

  • Stress testing and capital adequacy
  • Modeling solutions for  PPNR, CCAR/DFAST, IFRS9, CECL, ECL
  • Retail loans: card, auto, mortgage, home equity, personal loans, personal lines, and student loans
  • C&I and Commercial real estate (CRE)

RBI NPA
Automation

Argus NPA Automation solution has been designed inline with current IRAC(Income Recognition and Asset Classification) guidelines issued by RBI. The solution enables banks to obtain a single view of NPAs across all product types and customer segments. It creates a unified view of NPAs across all credit facilities held by the customer. NPA Automation solution is delivered on a BCBS239 and ADF compliant Data Platform thus ensuring future-proofing of the technical infrastructure.

Argus NPA Automation solution automates the process of identifying NPAs, computing provisioning figures and generating appropriate accounting entries. At each stage users have the ability to view the list of accounts and validate the same through a user interface which provides comprehensive account and customer details.

The solution also has the capability to identify and report on SMAs –Special Mention Accounts. In addition, the solution comes with a set of pre-built reports and dashboards. Argus NPA automation also provides an add on stress test module, with flexibility to modify test data, parameters and conditions.

The India NPA Automation Solution is part of the “Loan Reserve Management” family of products and is already updated with computational models for Expected Credit Losses (ECL/CECL) models being implemented in the United States. Indian Banks would be able to leverage this and fast-track their transition to the ECL regime as and when it is introduced in India.

Highlights Features Benefits
  • UI driven framework to manage force-upgrades and degrades
  • Parameterizable framework for defining provisioning percentage
  • In-built workflows for users to validate system generated identification and provisioning
  • Pre-built logical data model
  • Handle cross NPAs and Cross collaterals
  • Perform reclassifications, with appropriate controls
  • Generate accounting entries for downstream systems
  • Solution delivered off a Data Mart without disturbing existing systems & architecture
  • Future proofing to keep pace with regulatory change including the ECL guidelines under IND AS109
  • Empower business users to manage NPA identification rules and provisioning levels independently

 

RBI Risk Based
Supervision

Risk Based Supervision is the emerging global standard in regulatory oversight and governance. Regulators are using this as a mechanism to allocate scarce bandwidth to the riskiest areas in the financial ecosystem thus ensuring better return on investment. RBS in India was introduced in 2014 and it has grown in scope and importance since. Today typical large banks submit 500 plus quantitative data points plus several qualitative responses and support documents to the RBI as part of RBS. Smaller banks could be submitting around 250 quantitative data points . The regulator has also clearly spelt out that the number of data points are likely to increase thus making it critical for banks to future proof.

Argus RBS is designed to enable users to manage all phases of RBS including off –site surveillance, onsite inspections and Monitorable Action plans. Argus enables banks to get RBS compliant in the shortest possible timeframe with pre-built components for data extraction and storage powered by a BCBS239 and ADF compliant Platform. Argus provides the RBS submission team in the bank with complete control at a data-point level coupled with the capability to manage the duration and track progress of each phase

Argus to accommodate bank specific requirements is one of the key design principles. From selecting applicable data points to assigning data point level owners to designing validation checks, configurability is available in each aspect. Pre-built dashboards are built in to facilitate continuous monitoring and ensure timely submission.

 

Highlights Features Benefits
  • Comprehensive Status dashboards at each stage in the submission workflow
  • UI based Rules Engine to define computation logic for quantitative data points
  • Framework to define and perform validation checks
  • Capability to store supporting documents for each data point
  • Pre-built logical data model for Risk Based Supervision
  • Pre-built adapters to accelerate Integration with popular banking source systems
  • Easy access to historical submissions
  • Flexibility to manage the entire RBS submission cycle from a centralized location
  • Solution delivered off a Data Mart without disturbing existing systems & architecture
  • Create a unified compliance hub for all RBI reporting

 

Argus offers customized forecasting suite across Financial Services to align Business Strategy & Regulatory Reporting.  LookAhead tool provides a scenario based forecasting and stress testing and TrueCapital tool provides Volatility Analysis and Economic Capital.   Both tools assist on staying ahead of evolving regulatory expectations and allow the business strategy to leverage on-demand “what-if” business scenarios and strategic planning.

Argus offers wallet-based models and scorecards to provide customer level estimates of ‘off-us’ behaviors, including spend (total & by category), usage (transactor, revolver) and fraud/credit risk.   Argus has a proprietary method for linking credit card, current & deposit accounts, and other products to an individual – without the use of PII.  This allows customer-level views of: Wallet share and position, Competing products and Effectiveness of marketing.

Argus’ Credit Portfolio Management Solution is a pre-packaged cloud-based analytical solution which covers all aspects of loss provisioning, stress testing, and portfolio analytics. The solution:

  • Automated, process-oriented, error-free estimation of ALLL (CECL compliant) using the proposed solution methodologies. Identification Rules, NPV Method, Collateral Method

In-built Report Library for FAS114 calculations

  • Pre-packaged comprehensive reporting suite that covers ACL calculation & disclosures, impairment analysis, delinquency analysis, portfolio credit concentrations, portfolio trends and data quality analysis
  • Supports data import from multiple sources and creates calculation scenarios
  • Allows loan level drill down that helps to identify risks and vulnerabilities in the FI’s portfolio by assessing the impact of continuously changing economic conditions on repayments, identifying portfolio concentrations, estimating the resulting change portfolio credit quality, and finally determining the potential impact on capital

Implementation options: On cloud

Database options: NA

Argus modeling suite offers a comprehensive solution to aggregate data, forecast expected credit losses, and calculate loan loss provisions.   Accurate modeling may also require the use of additional industry data to refine expected loss models, and benchmark performance.  In addition to our modeling expertise, Argus also provides comprehensive, granular industry performance and credit risk data as part of our service.  When combined with the financial institution data, these combined datasets create a powerful data asset to develop accurate loss estimation models and benchmarking. 

Argus offers a complete model development solution including data sourcing, validation, model design/build and documentation for: 

  • Stress testing and capital adequacy
  • Modeling solutions for  PPNR, CCAR/DFAST, IFRS9, CECL, ECL
  • Retail loans: card, auto, mortgage, home equity, personal loans, personal lines, and student loans
  • C&I and Commercial real estate (CRE)

Argus NPA Automation solution has been designed inline with current IRAC(Income Recognition and Asset Classification) guidelines issued by RBI. The solution enables banks to obtain a single view of NPAs across all product types and customer segments. It creates a unified view of NPAs across all credit facilities held by the customer. NPA Automation solution is delivered on a BCBS239 and ADF compliant Data Platform thus ensuring future-proofing of the technical infrastructure.

Argus NPA Automation solution automates the process of identifying NPAs, computing provisioning figures and generating appropriate accounting entries. At each stage users have the ability to view the list of accounts and validate the same through a user interface which provides comprehensive account and customer details.

The solution also has the capability to identify and report on SMAs –Special Mention Accounts. In addition, the solution comes with a set of pre-built reports and dashboards. Argus NPA automation also provides an add on stress test module, with flexibility to modify test data, parameters and conditions.

The India NPA Automation Solution is part of the “Loan Reserve Management” family of products and is already updated with computational models for Expected Credit Losses (ECL/CECL) models being implemented in the United States. Indian Banks would be able to leverage this and fast-track their transition to the ECL regime as and when it is introduced in India.

Highlights Features Benefits
  • UI driven framework to manage force-upgrades and degrades
  • Parameterizable framework for defining provisioning percentage
  • In-built workflows for users to validate system generated identification and provisioning
  • Pre-built logical data model
  • Handle cross NPAs and Cross collaterals
  • Perform reclassifications, with appropriate controls
  • Generate accounting entries for downstream systems
  • Solution delivered off a Data Mart without disturbing existing systems & architecture
  • Future proofing to keep pace with regulatory change including the ECL guidelines under IND AS109
  • Empower business users to manage NPA identification rules and provisioning levels independently

 

Risk Based Supervision is the emerging global standard in regulatory oversight and governance. Regulators are using this as a mechanism to allocate scarce bandwidth to the riskiest areas in the financial ecosystem thus ensuring better return on investment. RBS in India was introduced in 2014 and it has grown in scope and importance since. Today typical large banks submit 500 plus quantitative data points plus several qualitative responses and support documents to the RBI as part of RBS. Smaller banks could be submitting around 250 quantitative data points . The regulator has also clearly spelt out that the number of data points are likely to increase thus making it critical for banks to future proof.

Argus RBS is designed to enable users to manage all phases of RBS including off –site surveillance, onsite inspections and Monitorable Action plans. Argus enables banks to get RBS compliant in the shortest possible timeframe with pre-built components for data extraction and storage powered by a BCBS239 and ADF compliant Platform. Argus provides the RBS submission team in the bank with complete control at a data-point level coupled with the capability to manage the duration and track progress of each phase

Argus to accommodate bank specific requirements is one of the key design principles. From selecting applicable data points to assigning data point level owners to designing validation checks, configurability is available in each aspect. Pre-built dashboards are built in to facilitate continuous monitoring and ensure timely submission.

 

Highlights Features Benefits
  • Comprehensive Status dashboards at each stage in the submission workflow
  • UI based Rules Engine to define computation logic for quantitative data points
  • Framework to define and perform validation checks
  • Capability to store supporting documents for each data point
  • Pre-built logical data model for Risk Based Supervision
  • Pre-built adapters to accelerate Integration with popular banking source systems
  • Easy access to historical submissions
  • Flexibility to manage the entire RBS submission cycle from a centralized location
  • Solution delivered off a Data Mart without disturbing existing systems & architecture
  • Create a unified compliance hub for all RBI reporting