Enterprise Risk Management Technology Guide 2025/26

RNA Analytics: Helping insurers to embrace change

Javier Alvarez, managing director EMEA at RNA Analytics, discusses the main challenges facing the insurance market and explains how the software provider can help insurers achieve their goals

What are the key regulatory and strategic challenges currently facing insurers?

Javier AlvarezWith less than six months to go for some carriers, there is still a degree of uncertainty about the requirements of IFRS 17 and how they should be implemented; as readers will know, some areas are quite open to interpretation. What we do know is there is an appetite among regulators for globally consistent, high-quality implementation of the standard and high-quality audits.

For some insurers, the deadline for LDTI is also looming. With an effective date for SEC filers of 1st January 2023, the window of opportunity is closing for life insurers in the US.

Whilst the deadline for the two is the same, that’s where the similarity ends! There are some fundamental differences between the two.

And whilst these new accounting standards represent a considerable challenge, they must be approached as a driver for positive change, as previously siloed actuarial, finance and IT functions have a once-in-a-lifetime opportunity to harmonise via a common roadmap.

Increasingly demanding compliance requirements – particularly around customer data – have put actuarial software at the very heart of the sector’s regulatory response. At the same time, an explosion of information, increased connectivity and the use of agile cloud platforms is improving outcomes across the entire value chain – without the need to manage cumbersome and costly hardware.

As IFRS 17 becomes more familiar, and the disclosure preferences of companies becomes clearer, carriers will benefit from adopting and embedding a solution that aligns with their own unique systems architecture.

Whilst these pressing regulatory priorities are front of mind for insurers, they cannot blind them to other, longer-term risks. Among them are environmental, social and governance risk factors.

ESG risks introduce a high degree of uncertainty, and insurers will need to price for that uncertainty to ensure profitability and stable shareholder returns. Actuarial methods will need to evolve to adapt to these new risk realities, as actuaries begin treating climate change as a primary risk; support firms in creating new products based on new market needs; and curb underwriting risk. Taking an early and proactive stance on these factors will better position insurers for the long-term.

Meanwhile, inflation is on everybody’s mind, including insurers, which need to consider the risks it creates for insureds, supply chains and investments. In H1 2022, inflation far exceeded expectations from the end of 2021 alone, with projections doubling for many countries.

How is the stress and scenario testing by your insurance clients evolving?

Insurers face a considerable challenge in fully understanding the strategic implications of so many changes, and recognising the processes that need to be addressed – all whilst managing cost and complexity.

RNA Analytics is driven to help boards and investors gain better insights into the risks and their impacts on the business. We are using our unique skillsets to more accurately model and perform risk and investment calculations, using structured data analysis and bespoke software tools to model scenarios that guide profitable decision-making.

What is the future for risk modelling? Did Covid-19 have a big impact?

It is our understanding that re/insurers currently believe that, on average, the impact of Covid on future mortality improvements will affect life expectancy by less than 1%. According to the latest survey from the Institute and Faculty of Actuaries' Continuous Mortality Investigation (CMI), whilst we know how the pandemic has affected mortality rates during 2020 and 2021, the effect on future rates is less clear.

At an operational level, Covid-19 had a tangible impact on the way that teams work together, as companies made an overnight switch to homeworking, and later gradually established hybrid working approaches – emphasising the role of collaborative working in flexible, digital environments that have the necessary computational power for actuarial needs.

How can RNA Analytics help insurers achieve their goals?

Alongside improvements in analytical techniques and advanced data science capabilities, actuarial modelling solutions have shifted up a gear, towards the management and governance of bigger and more complex systems.; In addition to the ability to perform specific calculations, actuarial tools are constantly evolving to support actuaries in their role of helping the insurer remain competitive in a tough business environment.

Software vendors, including ourselves at RNA Analytics, are also adapting – to help actuaries seize these exciting opportunities. We aim to change the way in which risk and actuarial software is used across the business and look to provide a platform that can be utilised by all departments – from product development, pricing, financial and regulatory reporting, right through to the risk function.

Our experienced consultants provide impartial, expert and tailored advice to deliver more certainty against a backdrop of increasing complexity. Choosing the right partner at this pivotal time is a decision that requires careful consideration, to ensure the long-term viability of this increasingly important investment. At RNA Analytics, we form long-term partnerships with our clients, ensuring they are in a position to embrace change today, and to continue to reap the rewards long into the future.

Guide entries by RNA Analytics

Slope Software

Atlas

iReplicate Policyholder Compression

Actuo SII Engine

SolveXia

Iris Actuarial Platform

Numerix Insurance Suite

Aquantec Ocean

Riskonnect, Inc.

Psicle

Integrate

evo-insight

Solvency II Compliance Assessment Tool

Milliman Mind

ModelSign

STAR Solutions NAVI

STAR Solutions VEGA

Milliman Mind–IFRS 17

Datalytics-Defense

Nodal Claims Triage

Milliman Economic Scenario Generator

Milliman AccuRate Fleet

Milliman Bungalow – Private Flood Program

Milliman PinPoint API

Curv

Milliman Long-term care Advanced Risk Analytics (LARA)

Milliman M-PIRe Valuation & Securitization Software

Milliman Regulatory Insurance Intelligence - Objection Database

zeb.control

Balance Sheet Management (BSM)

Economic Scenario Generation (ESG)

Enterprise Pricing Management (EPM)

Phinsys Insurance Suite

JBA flood models - a global range of Oasis-enabled models for any location

JBA Vision - expert flood risk data on an easy-to-use online platform

Protecht ERM

Coastal Erosion and Storm Surge Risk Management Tool

Atidot

Magnet

Decision Focus

IFRS Assess and Risk Analyser

Fentics ALM and Capital Platform

RISKflo

Portfolio Manager

CyberCube Analytics - Portfolio Manager

Quotech Underwriters Workbench

Quex (Quotech Exposure Management module)

Addactis IFRS17 Solution

Addactis Reserving solution

Addactis Solvency II solution

Addactis Pricing solution

Addactis Platform

VIPR INTARGA

VIPR Insights

VIPR INTRALI

VIPR PORTAL

LiveCyc: Global Tropical Cyclone Early Warning System

DeepCyc: Climate Connected Probabilistic Tropical Cyclone Events

Metryc: Global Wind Speed Best Estimate

SolvencyTool

ReservingTool

Mo.net Model Adapter

Mo.net Model Development Studio

Mo.net Operational Modelling Centre

Mo.net Quotations Service

Mo.net Cloud Modelling Service

Mo.net Mobile Modeller

GEMS® Economic Scenario Generator

FIRM® Portfolio Analyzer

ADVISE® Enterprise Risk Modeler

Conning Allocation Optimizer®

Optalitix Models

Optalitix Quote

Oasis Loss Modelling Framework

Capital Modelling Suite

Life Risk Modelling Suite

KatRisk Catastrophe Models

CoMeta

XSG – Economic Scenario Generator

R3S Modeler

R3S Workflow Manager

R3S Software Suite

R3S Development Manager

R3S RiskPlatform

IntegraLynx

SS&C Algorithmics for Insurance

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

XLAudit Spreadsheet Error Analysis and Data Integrity Software

AIValidator for AI and GenAI Model Testing and Validation

ELEMENTS Catastrophe Modelling Platform

Catastrophe Model Data Platforms

AXIS™ Actuarial System

Scenario Generation Solutions

Climate Pathways

RiskIntegrity™ Suite

ResQ Financial Reporter

ResQ

Igloo

Financial Results Analyzer

RiskAgility FM IFRS 17 Calculation Engine

RiskAgility Financial Modeller

DataValidator

Unify

Radar

Life, Health and Annuities: FIS Insurance Risk Suite

General/Property and Casualty: Insurance Risk Suite - GI Edition

IFRS 17 Reporting: Insurance Risk and Accounting Suite for IFRS 17

Cloud and Managed Services: Insurance Risk Suite Managed Cloud Services / Production Manager

AI and Machine Learning: Predictive Analytics, Experience and Rating Manager

Data Governance: Data Repository, Flexible Results and Flexible Results API

Automation: Process Orchestrator, Process Manager

LCP InsurSight

Detech Optimizer

Proteus Scenario Generator

Touchstone

Global Flood Cat

Global Flood Map

US Flood Map

Risk Scores

Governance, Risk & Compliance System

Risk Explorer™

Predictable Dynamics

Res-Solver™

Asseco IFRS 17 Engine

Graci

Global Operational Loss Database (GOLD)

OptiMA

FactSet Multi-Asset Class Analytics & Risk Solutions

FactSet Performance System & Client Reporting Solutions

Cash Flow Testing

Private Capital Data Aggregation Services & Reporting

BW KIDS 4 PRIIPS Tool

SIIMPLIFY

With Profits Payout Monitoring Dashboard

Demographic Experience Monitoring Tool

RNA Dynamic ALM

validateR

Climate Regulatory Disclosure Reporting Software

Graci