Claims Crime Prevention Consultant; Claims

Role Description

As a Claims Crime Prevention Consultant at Allianz, you will utilise your experience from a senior fraud investigation role to safeguard the organisation and its clients from fraudulent activities. This position requires proven expertise in fraud prevention systems and involves investigating home claims referrals from many sources. You will collaborate closely with stakeholders, including Suppliers, Loss Adjusters, Surveyors, and Contractors, to accurately identify root causes and ensure effective resolution of claims.

Your role will also involve contributing to strategies to enhance fraud prevention measures, providing guidance to team members, and analysing claims data to proactively address emerging risks. By maintaining detailed records and engaging in continuous learning, you will contribute to Allianz's reputation for integrity and excellence in the insurance industry.

Location:

This position can be in either of our Birmingham, Bournemouth or Leeds offices. This is a hybrid role with expectation of you attending office 2 days per month.

Circa £36k per annum. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

• You will manage claim fraud investigations on referrals from both internal and external sources, utilising your expertise in fraud prevention systems and intelligence tools to identify cases suitable for investigation.
• You’ll maintain a portfolio and oversee the entire investigation process, applying your senior‑level fraud investigation skills to evaluate evidence, challenge inconsistencies, and determine accurate outcomes.
• You will handle all correspondence professionally, ensuring communication with customers and third parties is clear, precise, and technically sound.
• You will escal... (continued bullet content)
• You will accurately record values, costs, and trends in accordance with Fraud Database MI processes.
• You will ensure a consistent and fair level of service to all customers, applying your technical understanding of claims to support accurate assessments and reduce complaint drivers in line with Consumer Duty guidelines.
• You’ll collaborate with frontline teams to enhance their awareness of fraud risks, sharing your hands‑on experience in investigation and prevention to strengthen the organisation's first line of defence.
• You will proactively share your specialist knowledge with other investigators, fostering capability growth across the team by drawing on your experience in a senior role.

• Experienced in a Senior Fraud investigation role.
• Experienced in dealing with home / property claims originating from multiple sources.
• Experience and knowledge of fraud prevention systems and best practice.
• Established investigation skills with excellent attention to detail.
• A logical and analytical thought process.
• Confident and effective communicator with well‑developed customer service skills.
• Proven track record of interviewing / conversation management skills.
• Established capacity for objection handling and complaints resolution.
• Empathetic listener, able to adapt your communication style to get the best outcome for our customers and business.
• Excellent time management and organisational skills.
• Have great relationship‑building and team‑working skills and share our passion for fighting fraud and protecting the business.
• Have a can‑do attitude and be keen to learn.
• Be able to proactively identify problems and constructively find solutions.

• Experience of handling building damage and major loss cases.
• Understanding of building defects, construction methods and use of materials, and how these respond to insurance perils.
• Experience of working with Loss Adjusters, Surveyors and Building Contractors to establish root cause of defects and damage.
• Experience in validating a variety of building damage claims, including scope, estimate, tender and billing stages.
• Ideal candidates will have experience using machine learning to identify fraud patterns and natural language processing to analyse text data. Familiarity with automated fraud detection…