R3S J-ICS Package is an R3S Standard Code model (standard model template) for J-ICS. RNA Analytics helps insurance companies quickly comply with J-ICS and responds to model revisions whenever regulations change.
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![[Free Webinar] Regulatory compliance, model risk management, and non-life insurance support with R3S](https://images.squarespace-cdn.com/content/v1/5dd664af476e6268dc6f7f6d/1653989742482-7ZN5OXVE8NX1XAZQKUSZ/unsplash-image-64ajtpEzlYc.jpg)
Date : 29-July-2024 Monday 16:40-18:00 (Japan standard time).
Audience : Actuarial, Risk Management, IT and Enterprise planning person in Insurance companies.
Language : Japanese.
Location: Link to webinar will be sent to the registered email.
Price : Free.
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Recently, Alex Tsai, our Head of Greater China, spoke with Insurance Insight Summit in Beijing to take a deep dive into the critical question: Can the efficiency of actuarial software really have such a significant impact on the implementation of IFRS 17?
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We recently attended Industry Events’ insightful annual INsight Summit in Beijing!
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There has been considerable discussion on what is considered ‘fair’ when we are talking about insurance…
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The version 4.2 release brings many new enhancements, such as using ODBC and OCI for inputs, trusted authentication for R³S Manager, distributing the build phase to a remote machine, and improvements to compare and inheritance analyzer.
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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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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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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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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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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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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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