Graduate Fraud Data Analyst

Fraud Analytics are looking for an enthusiastic Graduate Fraud Data Analysts to join the team in 2024. Working in the area of fraud detection you will have the opportunity to present ideas, use new software and be part of Admiral’s work to keep ahead of the curve in its fraud prevention efforts. You’ll use your knowledge and our technology to combat fraud by suggesting new ideas and by analysing existing processes.

This role would suit logically minded people that are comfortable with numbers, keen to learn and have experience using programming languages. This role requires an element of independent working, so the ability to communicate results effectively to technical and non-technical audiences is key.

About the team

Fraud Analytics is a small, data focused team comprising of Fraud Data Analysts and Fraud Investigators. Our team looks to unearth value from both in house and external data sets by finding correlations in customer behaviour and fraudulent activity. We update and maintain Admiral’s core fraud applications and work with stake holders to manage and improve fraud detection rates. We are a growing team that are passionate about the work we do and love nothing more than to catch a fraudster!

Job Purpose

Fraud Data Analysts support the Fraud Analytics team and other key stake holders by creating and maintaining effective anti-fraud frameworks. They are responsible for carrying out a range of tasks including creating business rules, analysing data sources, network monitoring, and proactively suggesting process changes. Fraud Data Analysts need to be able to communicate confidently and clearly with our stakeholders and drive projects forward at all stages of development.

As a Graduate Fraud Data Analyst, you could be involved in:

• Applying your analytical expertise to identify fraud detection and processing opportunities
• Creating and maintaining bespoke portal frameworks and content for various departments in line with their business requirements
• Using SAS, SQL, Python and other tools to analyse large data sets and in turn make valuable suggestions and contributions to the project
• Working with department ‘Subject Matter Experts’ (SMEs) and Senior Managers to understand and solve problems by asking the right questions and delivering appropriate solutions
• Informing, influencing and supporting new products and initiatives across the group
• Remain up to date with trends and developments in the wider insurance fraud community, to ensure knowledge, skills and approaches remain current.

Please note, this is not a rotational graduate programme with different placements/rotations. 

Please also ensure to read this full job advert so that you are aware of expectations and working arrangements. 

About you

• 2.1 or above in a Mathematical degree
• If you do not have a Mathematics degree, we are open to other STEM disciplines, subject to demonstrating a solid numerical academic background, which is essential for this role

Essential skills

• Excellent communication skills
• Possesses a “can-do” attitude and an ability to make things happen!
• Strong attention to detail
• Comfortable challenging processes and asking questions
• Innovative and curious mindset
• Confident independent worker

Desirable skills and experience

• Experience with large data sets in multiple formats
• Ability to initiate and drive projects to completion with minimal guidance
• A flair for solving problems using data
• Knowledge of SAS, SQL, Python or other programming languages

Location / Hybrid working

We have a hybrid working approach, in this role you are expected to attend the office regularly in Ty Admiral, Cardiff during your training period (please note, travel expenses are not covered). Following your training period, you will be expected to attend the office 1 time per week, however, this is subjective and may be more due to things such as training, team days, team meetings etc. 

This role requires solid commitment to travel to Cardiff, or to relocate to Cardiff, to manage expectations. 

We will provide you with everything you need to work comfortably from home. 

Development and progression

We’re a big believer in personal development and preparing you for success in this role as well as your next. We’ll provide a range of on-the-job training as well as other opportunities to learn all the key skills you’ll need. There is fantastic opportunity for progression and development from this role, presenting opportunity to speedily progress your career within Fraud Analytics at Admiral.

We offer a steady career growth path with many of our previous graduates progressing to leadership roles involving regular contact with some of our most senior managers.

Thanks to our business's culture and structure, the skills and experience developed within our Fraud Analytics teams would be transferable to other analytical departments as we grow our product portfolio.

Our Commitment to You

At Admiral, we are committed to being a diverse and inclusive workplace. Admiral is proud to be an equal opportunities employer and does not discriminate on the basis of race, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), national origin, gender, gender identity, sexual orientation, disability, age, or any other legally protected status.

All qualified applicants will receive equal consideration for employment.

Salary, Benefits and Work-Life Balance

We do not have a set salary for this position, as it will be dependent on the successful candidate’s experience. We are happy to see CVs from all candidates who meet the requirements and will be happy to discuss the remuneration package.

At Admiral, we are proud to be a diverse business where we put our people and customers first. We have great benefits to ensure employees have a great work-life balance; it's one of the reasons we’re consistently voted one of the Sunday Times Best Big Companies to Work For in the UK. We want you to have an element of freedom to define a working lifestyle that supports this, so accommodate flexible hours wherever possible.

All colleagues will receive 33 days holiday (including banks holidays) when they join us, and this will increase with length of service, up to a maximum of 38 days (including banks holidays). You also have the option to buy or sell up to five days of annual leave in addition to your allocation.

You can also view some of our other key benefits here.

Next steps & Application Process

If you think this role is for you and would like to be considered for this opportunity, please click “apply now” to complete an online application form, including an up-to-date copy of your CV.

If your application demonstrates the requirements as shown in this ‘About You’ section, you will be invited to complete an online numeracy test.

The Hiring Managers will then review your application along with your test score. Following review of your application and test score together, if shortlisted you will be invited to attend an interview.

If successful, we are offering flexible start dates in 2024 and will take individual circumstances into account.

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