Fraud Data Analyst

Job Description

We have a fantastic opportunity for a Fraud Data Analyst to join our Enterprise Fraud department on a full time, permanent basis.

Purpose of Role

The Data Analyst is a pivotal role in the Fraud department, with responsibility for designing, technical implementation, maintaining and routine delivery of core operational activity management information for the department and across other fraud handling teams.

The successful candidate will be responsible for designing, implementing and production of high-quality financial crime reporting to improve operational enterprise fraud activity, provide recommendations for strategy enhancement, and identify opportunities for the reduction of financial loss.

The day to day:

• Drive identification and production of new trend analysis and business risk reviews to inform counter fraud strategy and operational approaches.
• Strong data analytical skills will be important, with use of various in-house tools (such as Excel, Tableau and SAS currently), but we have an eye on the adoption of new analytical tools coming to the company. While a lot of the systems we utilise are SQL based, the use of Python is expanding across the company and adoption of that in Financial Crime is important
• The systems that will be used and maintained are varied, from fraud detection tools, device transaction capture, document mining and other in-house programmes. This role will entail not only the analysis of the data from those systems, but also the development and maintenance of their capabilities – this includes work on rules-based systems, alongside the analysis
• While an understanding of insurance and fraud is not essential, it would definitely help the individual to excel in the role.
• The role include liaison with a multitude of other departments and a level or relationship maintenance with external suppliers

Qualifications

• Expert knowledge of MS Excel
• Expert SQL knowledge
• Experience of data analysis and reporting
• Track record of delivering high quality data analysis and reporting
• Intermediate knowledge of SAS

We’d also like to hear if you have…

• Knowledge of fraud/financial crime risk management for both insider and external fraud
• Awareness of IFB, IFED and similar industry bodies
• Technical knowledge of general insurance across underwriting and claims and the metrics used by other business areas including Underwriting, Pricing, Operations and Claims
• Technical knowledge of insurance fraud, ‘SIRA’ or other similar systems and i2
• Python knowledge would be beneficial

We’ll help you gain…

• Access to accredited Learning Academies to develop technical skills across a variety of areas e.g. Data, Analytical Techniques and Agile
• Wider insurance experience, working with fraud intelligence and investigation teams directly, along with exposure to all areas of insurance handling
• Opportunity to contribute to the company wide changes, which we are currently going through.

Additional Information

• 33 days annual leave (including bank holidays), rising with length of service 
• Holiday buy/sell scheme
• City Centre office location with great facilities, including a games room
• Discounts on cinema vouchers, restaurants, holidays and more…
• Opportunities for career progression
• Refer a friend scheme, up to £1,000
• Employee and family discounts on esure products
• Life Assurance (x3 annual salary)
• Employee Assistance Programme