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Rwa optimizer benefits and features

Asif Rajani
Asif Rajani

The document summarizes an RWA Optimizer solution that uses machine learning algorithms to help banks optimize their regulatory capital requirements and profitability. It analyzes regulatory risk data to detect issues impacting capital/profits and proposes portfolio optimizations. The solution automates tasks to free up 50% of team time. It is designed for risk analysts, CROs, and others managing regulatory credit risk and capital programs. Key benefits include optimizing capital/profits, accessing peer benchmarks, increased productivity through automated checks, and flexibility via adaptable algorithms.

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RWA Optimizer Towards Finance & Risk Intelligence
RWA OPTIMIZER What does RWA Optimizer do? It provides a transparent solution that delivers integrated data analysis, analytics and reporting capabilities to augment the capacity of your teams to measure and manage regulatory risk in a continuously changing regulatory environment. It offers a set of machine learning algorithms to help banks improve their data quality and portfolio mix to optimize their regulatory capital requirements and P&L. It comes with unseen anomaly detection, root cause analysis and remediation capabilities. Why is RWA Optimizer important? It automates data analysis, data quality and reporting by providing a standard workflow that frees up to 50% of the recurrent task on a typical risk reporting area. It provides an automated solution to compare your portfolio against your peers and sets a new standard to efficiently comply with the different risk & finance regulations. For whom is RWA Optimizer designed? The solution is aimed to be used by risk data analysts, CROs and teams coordinating regulatory credit risk management activities across their organizations, project managers responsible for Basel/IFRS9 programs and also credit and business areas.
RWA OPTIMIZER: BENEFITS Optimise your capital requirements and P&L Our solution detects optimisation opportunities using machine learning to automatically find data quality issues with most impact in capital requirements/P&L and proposing the best portfolio mix to optimise RWA or other metrics (e.g. RAROC). Take advantage of quickly available benchmarks CRO and risk analysts can access a pool of benchmark data to spot optimisation opportunities and make the required analysis to take strategic decision regarding the portfolio. Increase productivity of your teams Our solution runs automatic SQL queries based on your data lineage and allowing for automated end-to-end consistency checks. It also increases productivity and reduces the data management burden on IT. Cutting edge algorithms for flexibility and explainability By using automatic machine learning our algorithms can adapt to different data schemas increasing integration, reducing installation costs and providing flexibility for future changes.
RWA OPTIMIZER: SOLUTION OVERVIEW Anomaly Detection Uses explainable machine learning for anomaly detection using thousands of data points from COREP and/or FINREP Provides benchmark data to support strategic decisions Allow you to create, save and share your benchmarks or tests using data point and/or EBAs dimensions/members Uses easily adaptable reports with metrics evolution over time or comparisons between portfolios. Easy to export to power point or excel Root cause Runs automatically created SQL queries based on data lineage Consistency of calculations and mappings using machine learning Remediation Uses explainable automatic machine learning to quickly search for business data that better predicts the correct data input Gives you access to a flexible solution adaptable to any database schema Calculates RWA (or other metric) impacts to support decision making Simulation/Decision maker Possibility of online simulations and guidance on commercial and credit decisions, e.g. optimal portfolio mix
Regvolution and RWA Optimizer Regvolution RegTech Start up developing Machine Learning powered Solutions to help banks optimize their regulatory capital and comply efficiently with their Finance & Risk regulations. Our aim is to dramatically change the regulatory implementation landscape by providing an out-of-the-box solution over intelligent platforms adaptable to banks structures. RWA Optimizer Regvolution is developing Machine Learning powered solution to help banks optimize their regulatory capital by providing unseen anomaly detection, root cause analysis and remediation capabilities. The solution architecture helps banks lowering their Finance & Risk regulations burden by providing Regulation as a service in a suitable and long-term way in line with banks efficiency efforts.
To learn more visit REGVOLUTION.COM/RWA-OPTIMIZER/

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Rwa optimizer benefits and features

  • 1. RWA Optimizer Towards Finance & Risk Intelligence
  • 2. RWA OPTIMIZER What does RWA Optimizer do? It provides a transparent solution that delivers integrated data analysis, analytics and reporting capabilities to augment the capacity of your teams to measure and manage regulatory risk in a continuously changing regulatory environment. It offers a set of machine learning algorithms to help banks improve their data quality and portfolio mix to optimize their regulatory capital requirements and P&L. It comes with unseen anomaly detection, root cause analysis and remediation capabilities. Why is RWA Optimizer important? It automates data analysis, data quality and reporting by providing a standard workflow that frees up to 50% of the recurrent task on a typical risk reporting area. It provides an automated solution to compare your portfolio against your peers and sets a new standard to efficiently comply with the different risk & finance regulations. For whom is RWA Optimizer designed? The solution is aimed to be used by risk data analysts, CROs and teams coordinating regulatory credit risk management activities across their organizations, project managers responsible for Basel/IFRS9 programs and also credit and business areas.
  • 3. RWA OPTIMIZER: BENEFITS Optimise your capital requirements and P&L Our solution detects optimisation opportunities using machine learning to automatically find data quality issues with most impact in capital requirements/P&L and proposing the best portfolio mix to optimise RWA or other metrics (e.g. RAROC). Take advantage of quickly available benchmarks CRO and risk analysts can access a pool of benchmark data to spot optimisation opportunities and make the required analysis to take strategic decision regarding the portfolio. Increase productivity of your teams Our solution runs automatic SQL queries based on your data lineage and allowing for automated end-to-end consistency checks. It also increases productivity and reduces the data management burden on IT. Cutting edge algorithms for flexibility and explainability By using automatic machine learning our algorithms can adapt to different data schemas increasing integration, reducing installation costs and providing flexibility for future changes.
  • 4. RWA OPTIMIZER: SOLUTION OVERVIEW Anomaly Detection Uses explainable machine learning for anomaly detection using thousands of data points from COREP and/or FINREP Provides benchmark data to support strategic decisions Allow you to create, save and share your benchmarks or tests using data point and/or EBAs dimensions/members Uses easily adaptable reports with metrics evolution over time or comparisons between portfolios. Easy to export to power point or excel Root cause Runs automatically created SQL queries based on data lineage Consistency of calculations and mappings using machine learning Remediation Uses explainable automatic machine learning to quickly search for business data that better predicts the correct data input Gives you access to a flexible solution adaptable to any database schema Calculates RWA (or other metric) impacts to support decision making Simulation/Decision maker Possibility of online simulations and guidance on commercial and credit decisions, e.g. optimal portfolio mix
  • 5. Regvolution and RWA Optimizer Regvolution RegTech Start up developing Machine Learning powered Solutions to help banks optimize their regulatory capital and comply efficiently with their Finance & Risk regulations. Our aim is to dramatically change the regulatory implementation landscape by providing an out-of-the-box solution over intelligent platforms adaptable to banks structures. RWA Optimizer Regvolution is developing Machine Learning powered solution to help banks optimize their regulatory capital by providing unseen anomaly detection, root cause analysis and remediation capabilities. The solution architecture helps banks lowering their Finance & Risk regulations burden by providing Regulation as a service in a suitable and long-term way in line with banks efficiency efforts.
  • 6. To learn more visit REGVOLUTION.COM/RWA-OPTIMIZER/