BAE Systems has teamed up with NFU Mutual to provide the insurance firm and its customers with comprehensive protection across underwriting, claims and financial crime services.

The contract will commence in 2017 and see BAE Systems' financial crime division provide NFU Mutual with a counter fraud solution that will detect and prevent financial crime throughout the customer lifecycle and across the business. The partnership will enable NFU Mutual to exploit external and internal data sources to accurately identify fraudsters at the point of sale and point of claim, whilst ensuring customers are fast-tracked through the policy application and claims processes.

George Robbins, VP EMEA, Commercial Solutions at BAE Systems Applied Intelligence, said:

'We will be working with NFU Mutual to help it deliver on its zero tolerance approach to fraud and financial crime by implementing faster and more accurate fraud detection, using the best data at the right time in the right way.

'Many businesses work in silos, which often means teams not only operate using different systems and technologies, they also duplicate effort and costs. By consolidating NFU Mutual's operations into a single group fraud and financial crime platform we can improve controls on financial crime and fraud detection.

'The decision to work with BAE Systems came from a recognition that we are able to provide a system that is proven within the insurance industry and which can be tailored towards the specific needs required for NFU Mutual. This, coupled with BAE Systems extensive data partnerships, enables us to create a platform which combines high quality analytics and data sources ultimately maximising value for NFU Mutual.'

Steve Bower, Customer Services Director at NFU Mutual, said:

'The partnership with BAE Systems will help us continue to take a tough stance on fraud, while maintaining the first class levels of customer service that our members have come to expect. By embedding these new advanced capabilities across claims, underwriting and financial crime, we are tackling fraud more effectively and ultimately providing greater value to our members.'

ENDS

Ref. 170/2016.

Notes for Editors


About BAE Systems
At BAE Systems, we provide some of the world's most advanced, technology-led defence, aerospace and security solutions and employ a skilled workforce of some 83,400 people in over 40 countries. Working with customers and local partners, we develop, engineer, manufacture and support products and systems to deliver military capability, protect national security and people and keep critical information and infrastructure secure.

At BAE Systems Applied Intelligence, we help nations, governments and businesses around the world defend themselves against cybercrime, reduce their risk in the connected world, comply with regulation, and transform their operations.


We do this using our unique set of solutions, systems, experience and processes - often collecting and analysing huge volumes of data. These, combined with our Cyber Special forces - some of the most skilled people in the world, enable us to defend against cyber-attacks, fraud and financial crime, enable intelligence-led policing and solve complex data problems.


We employ over 4,200 people across 18 countries in the Americas, APAC, UK and EMEA. For further information about BAE Systems Applied Intelligence, please visit www.baesystems.com/businessdefence

About NFU Mutual

NFU Mutual offers a wide range of products, including general insurance, life, pensions, and investments. These products and services are delivered through the agency network, as well as through a direct sales and service centre.
With over 300 offices located in rural towns and villages throughout the UK, NFU Mutual has become part of the fabric of rural life and remains committed to serving the needs of people who visit, live or work in the countryside.

BAE Systems plc published this content on 02 December 2016 and is solely responsible for the information contained herein.
Distributed by Public, unedited and unaltered, on 02 December 2016 13:43:08 UTC.

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