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AxiomSL Stress Testing Module Named Best Solution for Credit Risk Modelling at Regulation Asia Awards for Excellence

AxiomSL Stress Testing Module Named Best Solution for Credit Risk Modelling at Regulation Asia Awards for Excellence

AxiomSL, the industry’s leading provider of risk and regulatory reporting solutions, announced that it received the award for Best Solution: Credit Risk Modeling at the third annual Regulation Asia Awards for Excellence 2020. The annual awards program recognizes the continuing excellence of financial services institutions, market infrastructures, technology firms, and service providers across the region who ensure the highest compliance standards are upheld despite an ever-changing and increasingly complex regulatory landscape.

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In recognizing the AxiomSL IntegratedModelView credit risk model management solution as the best in its category, the Regulation Asia Awards for Excellence highlighted the software’s flexible and transparent stress testing and risk modelling capabilities. The IntegratedModelView module enables financial institutions to meet constantly evolving Basel and IFRS-9-driven credit risk and liquidity reporting requirements by automatically incorporating their various risk models into AxiomSL’s ControllerView® platform. This platform allows financial institutions to manage and execute credit risk models, ingest original sourced data, enrich that data to Basel-driven requirements, execute open source models and perform regulatory calculations, reporting, and submission from a single source.

“We are honored to receive this award at a time when the value of having automated connectivity between risk models, daily deposit activity and cashflow is more critical than ever,” said Gavin Pugh, Head of Risk Solutions, APAC, AxiomSL. “Our IntegratedModelView module, working in conjunction with our ControllerView platform gives financial institutions the ability to accurately create liquidity stress scenarios, incorporating their own proprietary credit risk models along with open source data to create a truly comprehensive view of credit risk.”

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