
RC-Dashboard and Database Tool combines powerful and flexible analytics with high-quality visualisation of the results obtained. Data on accounts, portfolios and financial ratios are loaded and manipulated using a flexible set of routines and algorithms and then presented through a dashboard. The software supports analysis by risk or finance teams within financial institutions and their presentation to a wider audience or managers and analysts.

RC-Capital Model is a high-specification, portfolio modelling framework, supplying rigorously calculated risk statistics for multi-asset portfolios over different holding periods. RC-Capital Model is suitable for credit VaR calculations, counter-party risk analysis, multi-asset-class analysis for investment firms and asset managers. The framework supplies VaRs, Expected Shortfall capital measures and the capital contributions of individual exposures and sub-portfolios over horizons ranging from ten days to thirty years.

RC-Connectivity and Data Validation System provides a web-based portal through which financial institutions can securely receive, check and evaluate data on asset portfolios. The system allows banks and savings institutions to integrate their portfolio data with decentralised networks of originators, fund managers or subsidiaries. The software supports a work stream in which analysts may view validation messages, and, if necessary, request more information.

RC-Limit System is a specialised and standalone application that evaluates limits (for transaction authorisation purposes) and computes headroom and then delivers these calculations via web services to other systems. Offering considerable flexibility in the specification and management of limits, the system can provide real-time visibility of limits to downstream business users. The framework gives risk professionals the tools they need to manage complex limits across multiple origination and database systems.

RC-OpRisk Capital Model provides Operational Risk specialists with a rigorous tool for computing capital. Inputs can either be scenario-based or historical-data-based. The model provides OpRisk units in asset management firms, banks or insurers with a highly effective and flexible tools to analyse Risk Registers or historical loss data.

RC-Credit Scoring System allows users to create and manage multiple credit scoring models and then to publish scores to downstream systems. The software supports a variety of scoring methodologies including classical Logistic Regression and Artificial Neural Nets. A model development workflow including a full set of diagnostics is implemented to facilitate the work of modellers.

The RC-Rating Scenario System provides users with a flexible way of analysing how scenarios involving all aspects of a bank’s business feed through into its agency ratings. Risk and finance analysts can use the software to respond swiftly to a wide variety of scenario analysis requests from senior managers. The system can assist institutions in optimising their rating as well as in avoiding strategies that might threaten how they are evaluated.

RC-Stress Testing System provides a wide range of calculations suitable for Pillar II requirements for banks or asset managers. These calculations are generated for current and future periods under macro stresses. The stress testing functionality permits the generation of a wide range of scenarios using powerful conditional Bayesian techniques. The framework provides reports which may be processed flexibly to generate regulatory requirements.


Risk Control Limited is a Nigerian-based company specializing in providing comprehensive security and risk management solutions. Established in 2004, the company offers a wide range of services including background checks, employee vetting, risk assessment, security consulting, and training programs tailored to various sectors such as finance, telecommunications, oil and gas, and government. With a focus on leveraging advanced technology and industry expertise, Risk Control Limited aims to assist organizations in mitigating risks and enhancing their overall security posture.