Fraud Analyst / Investigator - Motor Insurance

Motor Insurance Risk Underwriter

£27,500

Remote Working - with travel 2-3 times a month into the office. (Surrey)

Yearly bonus, Pension, Generous investment in your development, Private Medical insurance, death in service, income protection, 25 Days holiday, Your birthday off work and much more!

Are you a passionate, naturally inquisitive, and exceptionally resourceful individual? Do you excel in uncovering the underlying causes of disputes? We're seeking someone to join our team who not only shares our vision for the future of insurance through data science and AI but also possesses the skills to navigate us away from fraudulent activities.

The Role:

As a Motor Risk Underwriter, you'll draw on operational risk strategies, collaborating with our dynamic Fraud, Telematics, and Underwriting Teams. Your mission is to ensure pricing precision and combat fraud proactively.

Responsibilities:

• Investigate and respond to underwriting referrals, prioritizing risk mitigation.
• Utilise data analytics to identify and address potential fraud. This means having difficult conversations with customers when necessary.
• Authenticate customer documentation.
• Report and validate MI.
• Foster strong relationships with cross-functional teams.
• Stay compliant with regulatory standards and industry best practices.

Skills Required:

• Previous experience in personal lines motor insurance is essential.
• Understanding of insurance underwriting practices and fraud detection
• Familiarity with the UK Insurance Industry
• Customer service expertise with meticulous attention to detail
• Strong communication and interpersonal skills

About Us:

We leverage cutting-edge technology and telematics to cater to a diverse range of drivers. Our mission is to redefine motor insurance through innovation and efficiency, led by a top-tier executive team with a history of success in the industry.

If you're ready to make a significant impact in the evolving landscape of motor insurance, apply now!