Reigate, October UK – 2019
Most Korean insurers are already implementing IFRS 17 systems but many are struggling in a number of areas. The most difficult part of the IFRS 17 implementation for Korean insurers is the construction of the cash flow engine because performing complex calculations on a regular and timely basis is almost impossible with most existing actuarial solutions.
The complexity of the calculations combined with the desired granularity of results has meant many insurers with their existing actuarial solutions having to invest, at a huge cost, in high specification hardware in order to produce their IFRS 17 results in their required timeframe.
Already aware of the difficulties of deploying an enterprise level IFRS 17 solution, RNA Analytics’ software development and actuarial consulting teams have been working for several years analyzing all the requirements for IFRS 17 to spearhead large-scale developments in R³S, RNA Analytics’ actuarial modeling solution, that implement the new features required to meet client requirements.
Almost all the requirements needed by IFRS 17, from the calculation of new accounting concepts such as the risk adjustment and contractual service margin, to the most complex modeling of Korean insurance products as well as the linkage with reinsurance, various embedded option value calculations, new payment plans, dynamic decision-making, and large database processing functions were considered when designing the new features. The most recent developments in the R³S software have enabled insurers to optimize the structure of their models, thereby dramatically reducing the cost of hardware, while still meeting the new requirements.
In particular, the IFRS 17 implementation project at Orange Life, is considered to be the most successful project in the industry. Almost all of the requirements had already been implemented in the R³S solution as a result of previous IFRS 17 project implementations. The K-Insurance Capital Standard (K-ICS) and dynamic ALM models were also built in R³S to implement an enterprise-wide business model within Orange Life.
With the new functionality within the software, users have the ability to directly load large result sets into databases such as Oracle. This removes the requirement to purchase additional ETL software and reduces the storage space required as results do not need to be staged prior to being loaded into the reporting system. This results in the establishment of a highly efficient and automated system from a ROI perspective.
“Through this project, we were able to proactively respond to system changes such as IFRS 17, and establish a systematic basis for conducting an actuarial valuation and strategic analysis” Seokho Woo, Managing Director – Orange Life.
“As a result of this project, Orange Life has built the industry-leading actuarial infrastructure system to provide timely settlement reports and various company reports. Thus providing a foundation for rapid response to the accounting and regulatory requirements of IFRS 17, in addition supporting management decisions and responding to changes in management processes required under the new accounting system” Harry Kim, CEO – RNA Analytics.
About RNA Analytics
RNA Analytics is a company formed around a product team that has been working together for over 20 years. RNA Analytics offers insurance firms a comprehensive actuarial modeling solution that provides essential risk and regulatory metrics to help meet the needs of an existing global client base. This solution supports the modeling of insurance portfolios across a spectrum of risk-based regulatory regimes such as Solvency II and IFRS. It helps meet the business needs of insurers for more realistic and complex modeling to enable critical risk-informed decision support for growth.