After over a decade in development, 2024 is expected to be a defining year for The Insurance Capital Standard, with adoption anticipated in December.
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Reigate, United Kingdom, 29th February 2024: RNA Analytics, a global leader in actuarial and risk management, today announces it has been awarded ‘IFRS 17 Consultancy of the Year’ at the InsuranceERM Awards.
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Nick Reilly, Head of Business Development, UK and North Europe at RNA Analytics considers what impact AI will have on risk pooling …
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On February 5th, RNA Analytics, a global insurance and risk management company, announced the signing of a Memorandum of Understanding (MoU) with Yonsei University, one of Asia's premier universities, for the training of experts in insurance and actuarial science.
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We are thrilled to welcome Anton Clennar to RNA Analytics as Associate Director.
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The public consultation on the Insurance Capital Standard (ICS) as a prescribed capital requirement (PCR) closed in September 2023, marking the beginning of the International Association of Insurance Supervisors’ (IAIS) final assessment of the economic impact of the standard.
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RNA Analytics are pleased to announce we are holding regular online training courses.
Please note that these courses are designed for licensed users of the software.
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We are thrilled to welcome Nick Reilly to RNA Analytics as Head of Business Development, UK and North Europe.
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As a new year approaches, and we consider what 2024 has in store for the global insurance industry, it is clear that some of the most exciting developments are taking place across the technology space….
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Reigate, United Kingdom, 6th December 2023: RNA Analytics, a global leader in actuarial and risk management, today announces it has been awarded ‘Consulting Firm of the Year’ at the Insurance Asia News Awards for Excellence, the third year running RNA has received an award from this esteemed awards organisation.
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Latin America’s insurance industry is on a growth trajectory, driven for the most part by revenue growth in the life segment, and as countries in the region show signs of economic recovery, the region’s as yet uninsured population makes Latin America an attractive market for insurers looking to expand their market presence and share.
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The 2023 RNA User Forum, held on November 16th at The Institute of Actuaries of Korea, brought together a dynamic community of existing R³S users and RNA clients.
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La Positiva were looking for a tool that was able to adapt to different life products and modelling scenarios, to help support decision making across different functions. At the same time, the solution had to be scalable and able to handle significant volumes of data and complex scenarios quickly and efficiently.
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RNA continues to invest in the expert in-house consultancy to fortify our software offering; and to serve our growing non-life insurance client base, we have expanded our team of non-life experts, taking our offering to re/insurers across the globe.
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We are thrilled to welcome Seungjin Han to RNA Analytics as the Head of APAC Life Consulting. Seungjin brings a wealth of expertise to our team, holding a Ph.D. in statistics and boasting 14 years of experience in areas such as pricing, economic capital modeling, machine learning, IFRS17, K-ICS, reinsurance strategy, solvency and capital management, and ORSA.
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The version 4.1 release brings many new enhancements, such as a transposing database output, profiling run type for users with the R³S Enterprise option, and command structures in R³S Manager.
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John Bowers, Actuarial Product Director and Matthieu Soulas, Actuarial Delivery Director at RNA Analytics, review how insurers have implemented IFRS 17, and the next steps moving forward in this Q&A, conducted by InsuranceERM.
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Compliance with IFRS 17 may for some time have seemed like a distant (and moving!) target on the horizon, but now that the accounting standard is upon us, work to implement the new rules and models has come to fruition for many insurers, giving us the opportunity to dissect projects end-to-end, and to share best practice.
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At a time when the demands placed upon insurers by regulators have exploded, and the availability of data and computational power offered by software providers and modellers have grown, a major step change in the development of nested stochastic modelling is emerging.
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