Our Services
Data science and analytics
We consider data and data quality to be the cornerstone of any successful project. This is why we approach data with the highest attention to detail, and use leading software, technology and methods for data collection, analysis and visualisation.
Our team has extensive experience with key software packages such as:
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Model development
We provide expert insight into the appropriate model-build methodologies as well as relevant regulation. We understand the modelling process as a series of sub-processes with mutual dependencies, starting with the data preparation stage, model development and testing, model documentation and internal governance.
Our team has extensive experience with end to end delivery of various types of risk models including:
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Model validation and assurance
Our model validation and assurance offering leverages our statistical model development and data analytics experience. This enables us to implement robust frameworks for the assessment of the qualitative and quantitative aspects of model design, development and performance oversight.
We have significant experience in delivering model assurance solutions across a wide range of regulatory models and quantitative applications, including:
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Portfolio risk management
Our broad expertise in different areas of risk helps clients to find synergies and improve efficiencies in their risk management framework. The combination of expert knowledge and quantitative methods helps to improve the risk management framework as well as enhance the decision making capability in terms of portfolio composition, risk based pricing as well as regulatory reporting and compliance.
