Modernising the Actuarial Operating Model
At the core of our business is our extensive actuarial and financial technical knowledge within the financial and insurance regulatory, reporting, risk & compliance space. Our toolkit includes state of the art technological tools and techniques. We have the skills to help you make sense of the modern digital sphere and we partner with the best in class technology providers to ensure that you have the best solution tailored to your requirements
Our Actuarial Data Science Services
We advise insurance organisations and technology providers on the application of data science that incorporates business domain experience and optimal strategies that deliver data driven insights, including predictive analytics and experience analysis. We assist on data investigations and recommendations on machine learning techniques that can maximise the potential of your data. We can develop specific, relevant use cases for your team on various traditional and non-traditional actuarial problems. Furthermore, we are supporting other actuarial teams on the use of data science, in particular on the skills required to become self-sufficient.
We work with business functions to develop and implement strategies for data science through our skillset that helps you make sense of the modern digital sphere. We have significant experience supporting finance, risk and operational change in the insurance industry. We can advise on and assist in developing bespoke technological solutions based on industry standards of potential target states linked to our understanding of your business, your strategic goals, and your infrastructure.
Process Optimisation & Integration
We work with financial services organisations and technology providers to drive change and to ensure optimal performance of people, processes and systems within an actuarial context and the use of data science. We can review “as-is” processes to identify gaps and limitations, develop requirements for an improved solution that meets your needs, and develop and implement an ideal process design.