WNS-ARM to help insurers in digital transformation journey
Actuarial Risk Management Ltd (ARM), a Texas-based consultancy specializing in comprehensive actuarial and modeling services, will offer its clients WNS’ offshore-centric actuarial services and end-to-end insurance capabilities including front, middle, and back-office solutions.
This comes under the partnership WNS (Holdings) Ltd (NYSE: WNS) has formed ARM.
WNS will leverage ARM’s 250 senior-level credentialed actuaries to provide its BPM clients with complimentary, project-based strategic advisory services.
“We are excited to join forces with ARM. Our industry-leading, end-to-end capabilities in the insurance industry combined with ARM’s onshore and near-shore actuarial resources will help insurers scale faster and respond to changing market conditions,” said Keshav R. Murugesh, Group CEO, WNS.
“Furthermore, in a market characterized by rising risk factors, regulation, and actuarial labor challenges, this partnership will enable insurers to access cost-effective and differentiated end-to-end insurance operations solutions,” he said on 22 Sept 2022.
“With WNS, we gain a partner that collaborates with global insurers to accelerate their digital transformation journey,” said Corwin Zass, Founder, ARM.
“ARM’s experienced onshore and near-shore insurance actuaries, coupled with WNS’ actuarial services will raise the bar on the transformation model that we deliver to our clients.
“From IFRS 17 and US GAAP LDTI project demands to staff shortfalls with recurring reporting and capital requirements, this alliance opens the possibilities for many over-strained and under-resourced insurers,” said Zass.
WNS’ 600+ Actuarial professionals seamlessly collaborate with clients’ staff actuaries across Life & Annuities and Property & Casualty insurance businesses.
A well-positioned global provider of actuarial services, ARM uses an innovative strategy to provide the strategic advisory services delivered by its global staff of more than 250 credentialed actuaries. fiinews.com
