At a Glance
- Tasks: Investigate fraudulent claims using advanced intelligence tools and produce detailed reports.
- Company: Join a dynamic team focused on counter fraud in a hybrid working environment.
- Benefits: Competitive salary, performance bonuses, and opportunities for professional growth.
- Other info: Collaborate with law enforcement and industry professionals while developing your career.
- Why this job: Make a real difference by tackling fraud and protecting the business.
- Qualifications: Analytical skills and a keen eye for detail; experience in fraud detection is a plus.
The predicted salary is between 27000 - 35500 £ per year.
As a Claims Intelligence Analyst, you will be responsible for supporting the Counter Fraud team, along with other areas of the business. You will identify and review suspected fraudulent claims/policies through our counter fraud platforms, reporting these to counter fraud agencies when relevant. This individual will use a wide variety of fraud detection software and tools to conduct advanced intelligence investigations into suspect claims, producing your findings within a report. You will build and maintain professional relationships with intelligence suppliers, professional bodies and law enforcement agencies. You will work closely with Investigators, Underwriters, and the Intelligence team to support the wider objective of improving fraud savings and reducing indemnity spend.
Location: Sevenoaks - hybrid working available
Working hours: Monday to Friday 9:00am - 5:30pm, 37.5 hours per week, 7.5 hours per day
Salary: £27,000 - £35,500 DOE, plus up to an additional £1,500 performance related bonus per annum, once established within your role.
What you will be doing:
- To investigate suspected fraudulent claims/policies using various intelligence tools
- To deliver a usable intelligence-based product to reduce claim losses
- To provide intelligence-led support to general claims/policy teams
- Confident in presenting complex information in a clear and concise manner
- Contribute to the continued improvements of the intelligence products & output
- Handling, analysing and evaluating highly confidential datasets and documents
- To develop an understanding of the MI Reports generated and fraud detection strategy
- To assist in the promotion of data integrity across the group
- Review and respond to Schedule 2, Part 1, Paragraph 2 requests received into the business
- Review intelligence received into the unit and ensure exposure is identified and worked appropriately
- Perform advanced intelligence investigations relevant to the subject matter to collect, analyse and suitably record items of interest
- Help maintain and extend the Intelligence professional relationships with intelligence suppliers, professional bodies and law enforcement agencies
- Adhere to company processes and ensure that DPA, FCA, TCF and other related regulatory requirements are met
- Report fraudulent claims and policies to counter fraud agencies and subsequently provide evidence/produce witness statements
What we're looking for:
- Knowledge of claims and/or underwriting best practice, particularly in relation to effective leakage control, risk management, quality, training and compliance
- Analytical thinker - able to analyse information quickly and use it to provide robust advice
- Written communicator - able to easily relay complex information in a written report
- Curious - an inquisitive, open-minded type who seeks out information from sources that may not always seem obvious
- Online awareness - an ongoing interest in current and emerging online trends, particularly in social networking
- Organised - good time management skills, able to work under pressure and deliver against deadlines set
- Keen eye for detail with the ability to think laterally and act through reasoned decision making
- Minimum of 1 year in Intelligence or Counter Fraud Investigations with a strong understanding of electronic fraud detection software is preferred but not essential
- Experience in using fraud detection tools and intelligence analysis software
