Enterprise Risk Management Technology Guide 2023

RNA Analytics: Experience counts with IFRS 17

Ian Thomas and Neil Collins from RNA Analytics explain how their familiarity with implementing the accounting standard has helped the development of their modelling system

What do re/insurers need to consider when transitioning to and implementing IFRS 17?

Ian ThomasIan: From our experience of working with clients on IFRS 17, some of which are not subject to Solvency II, the standard involves not just accounting changes, but also impacts actuarial, data management and governance processes. The new regulation uses actuarial model cash flows at the very centre of the calculations and in doing so places new requirements upon the actuarial models and processes.

Managing the whole IFRS 17 project is creating high costs for insurers. There are also areas of the standard that are quite grey, and this has given rise to many questions on the interpretation. It is a principles-based standard where many of the topics will require judgement when implementing.

The number of runs required to test IFRS 17, along with understanding how insurers are getting liability movements from one year to the next, can be challenging. The increased volume of data due to the greater granularity requirements will stretch the capability of current system architectures. The standard will require IT, actuarial and finance departments to work together to align the data across multiple silos. This may not be easy or even possible with existing systems.

Do insurers recognise the value of IFRS 17?

Ian: For some insurers, I think the benefits are felt during the overall process. Thanks to IFRS 17, insurers will have to improve how they manage data and governance.

Implementing the standard brings the need to make a number of operational and technical changes. These changes can deliver significant business benefits, such as optimised systems and more efficient processes in the long run.

Companies moving fast will have access to the best resources in the market, however significant investment is needed to update accounting, actuarial, data and analytics systems. Connecting data, systems and personnel is key to achieving compliance and enabling future business transformation.

How can RNA Analytics help re/insurers with IFRS 17?

Ian: RNA Analytics offers IFRS 17 calculations including a mix of out-of-the-box standard code and template examples. The functionality includes portfolio-level balance sheet and profit-and-loss results, dynamic ALM best-estimate liability calculations, risk adjustment and the Contractual Service Margin, as well as the full end-to-end processing to assist insurers to rapidly develop their IFRS 17 compliance.

Our actuarial and technical consultants can provide assistance with a range of tasks to help, implement, refine and enhance the use of actuarial and risk-based tools. And we have assisted companies effectively with their systems gap analysis before they start on their IFRS 17 journey.

Our parent company is from South Korea, one of the first countries to start the implementation of IFRS 17. We can take advantage of the experiences gained from five large implementations of IFRS 17 with major insurance companies to effectively design and execute future projects.

Is RNA Analytics planning to launch any new services over the next year?

Neil CollinsNeil: R³S version 3.0, which has just been released, enables users to write the model results directly to a database, reducing the amount of manual intervention in production environments and improving the overall processing time of a reporting period. It also introduced a source control system for model development, providing greater oversight and audit for changes in models.

Over the next year, we are looking to enhance our distribution capability, improve our end-to-end process and governance features and reduce model memory requirements, because actuarial models are becoming more complex with more data running through them.

Other software improvements happen continuously. Early next year, we are looking to release some standard code for modelling non-life business. Finally, we aim to maintain our IFRS 17, Solvency II and other model updates in line with regulatory developments.

 

Ian Thomas is an associate director, consulting, and Neil Collins is chief technology officer at RNA Analytics

Ian Thomas and Neil Collins

T: +44 1737 246586

E: [email protected]

Guide entries by RNA Analytics

FactSet Data & Analytics Solutions

Touchstone

Pricing - Tyche Pricing System & Aon Pricing Platform

Reserving - Tyche Reserving System

Aptitude IFRS 17 Solution

Aquantec Ocean

Atidot AI & Analytics Platform - Atidot OPTIMAL

ANNalytica

BW KIDS 4 PRIIPS Tool

SIImplify

With Profits Payout Monitoring Dashboard

Demographic Experience Monitoring Tool

ATOME: Particles

ATOME: Matter

ADVISE® Enterprise Risk Modeler

Conning Allocation Optimizer™

Conning Climate Risk Analyzer™

FIRM® Portfolio Analyzer

GEMS® Economic Scenario Generator

XSG

Detech Optimizer

DEvent

Dynamo Analytics - Psicle

Incisive Essentials - Xcellerator

Integrate

Milliman Mind

ModelSign

Solvency II Compliance Assessment Tool

STAR Solutions NAVI

STAR Solutions VEGA

Milliman Mind–IFRS 17

Arius

Datalytics-Defense

Nodal Claims Triage

Milliman Economic Scenario Generator

Milliman AccuRate Fleet

Milliman Bungalow

Milliman PinPoint

Curv

Milliman Long–term care Advanced Risk Analytics™ (Milliman LARA™)

Milliman M-PIRe Valuation & Securitization Software

AXIS™ Actuarial System

Scenario Generation Solutions

Climate Pathways

RiskIntegrity™ Suite

Oasis Loss Modelling Framework

GLASS

Economic Scenario Generator

Phinsys Insurance Suite

CoMeta

ChemMeta

Matching Adjustment Analytics Tool

R³S Software Suite

Mo.net Model Development Studio

Mo.net Operational Modelling Centre

Mo.net Quotations Service

Mo.net Cloud Modelling Service

Mo.net Mobile Modeller

IFRS Assess Enterprise

SolvencyTool

SolveXia

Governance, Risk & Compliance System

DataValidator

ResQ Financial Reporter

Unify

Igloo

Radar

ResQ

zeb.control

evo-insight - New Actuarial Modelling and Analytical Platform from Zenith

Actuo SII Engine

IFRS17 Solution

Reserving solution

Solvency II solution

Pricing solution

CLARA Casualty Claim Platform (CLARA Triage, CLARA Treatment, CLARA Litigation, CLARA MSP Compliance, CLARA Optics)

Portfolio Manager

JBA Flood Modelling Technology

IFRS Assess and Risk Analyser

Numerix Insurance Suite

PATOne EDM

Quantee Platform

On-Demand CAT Modelling Services on the Oasis Platform

Graci

Riskonnect

FE Solvency II

Grace Connect GRC Suite

Monitaur

DeepCyc

ForeCyc

Metryc

Escali Financials and Escali Supervision

CALFITEC

Quotech Underwriters Workbench

FIS Insurance Risk Suite (formerly known as Prophet)

LCP InsurSight

SS&C Algorithmics for Insurance

True North Data Platform

Balance Sheet Management (BSM)

Economic Scenario Generation (ESG)

MavenBlue Enterprise Pricing Management (EPM)

Optalitix Models and Optalitix Quote

Montoux Actuarial Automation Platform

Iris Actuarial Platform

CyberCube Analytics - Portfolio Manager

R³S Model Packages

R³S Modeler

R³S Process Manager

R³S Development Manager

Decision Focus

Fathom's Product Stack

Capital - Tyche Capital Model & ReMetrica

Incisive Essentials - Concourse

VIPR INTARGA

VIPR Insights - Data Analytics

Zupervise

Protecht ERM

Slope Software

Camms GRC Software

Quantee next-generation insurance pricing platform powered by AI

Oversight360, a Sicsic Solution

RISKflo

End User Computing (EUC) and Model Risk Management Software with Inventory, Discovery and Monitoring Modules

XLAudit Spreadsheet Error Analysis and Data Integrity Software

ClimateMAPS

Financial Results Analyzer

Risk Explorer™

RiskAgility FM IFRS 17 Calculation Engine

Predictable Dynamics

Res-Solver™

RiskAgility Financial Modeller

Atlas

iReplicate Policyholder Compression

Asseco IFRS 17 Engine