Data Intelligence Analyst (Fraud) in Fife

Data Intelligence Analyst (Fraud) in Fife

Fife Full-Time 33075 - 40425 £ / year (est.) Hybrid
Nationwide Group

At a Glance

  • Tasks: Analyse data to prevent fraud and provide actionable insights.
  • Company: Join Nationwide, a purpose-driven mutual bank focused on fairer finances.
  • Benefits: Enjoy competitive pay, private medical insurance, and flexible working options.
  • Other info: Collaborative environment with opportunities for career growth and community involvement.
  • Why this job: Make a real impact in fraud prevention while developing your analytical skills.
  • Qualifications: Experience with coding languages like SQL or Python and data visualisation tools.

The predicted salary is between 33075 - 40425 £ per year.

We’re looking for a high-performing individual to join our Fraud Analytics function to support Nationwide in the prevention and detection of fraud and scams across our portfolio. This role will provide you with the opportunity to work across all areas of the analytics team as well as with stakeholders across the business to design, develop and implement meaningful analyses and reporting. You will play a key role in the redevelopment and transformation of our current suite of reports and provide actionable insight to the business with regards to the prevention of fraud.

You’ll have the ability to collaborate with others to ensure we’re working together effectively. This role will provide the opportunity to work within our Economic Crime department and with the wider business. For us, it is not just about having the right experience; you need to have an open mind, be able to work collaboratively and be driven to learn and succeed. We are happy to consider flexible working approaches to help you perform at your best. At Nationwide we offer hybrid working wherever possible.

More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected. For this job you'll be located at our nearest regional office or hub. There will be a need to regularly connect with colleagues for collaboration and in some locations you’ll be expected to spend at least two days a week, or if part time you'll spend 40% of your working time, in the office.

If your application is successful, your hiring manager will provide further details on how this works. If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date, so please apply as soon as you can.

The extras you’ll get include:

  • Private medical insurance
  • A highly competitive pension to help you build a strong foundation for retirement
  • Access to an annual performance-related bonus
  • Training and development to help you progress your career
  • A great selection of additional benefits through our salary sacrifice scheme
  • Life assurance to provide peace of mind for you and your loved ones in the event of your death
  • Wellhub – access to a range of free and paid options for health and wellness
  • Up to 2 days of paid volunteering a year

What you’ll be doing:

You will use your technical and analytical skills to support the wider analytics team, and business, by creating and delivering insightful, actionable fraud analyses to help mitigate significant financial loss and monitor performance. You will also be involved in ad hoc requests for information and analyses from regulators and the wider business. You will be involved in all stages of the reporting process, from requirements gathering, development, testing and through to deployment/delivery.

About you:

As a minimum requirement you’ll need:

  • Practical experience of using at least one coding or data-querying language, for example SQL, SAS or Python.
  • Experience using, or a good understanding of, data visualisation tools such as Power BI or Tableau, and an understanding of how to present data clearly.
  • Strong analytical skills and an ability to work with data to identify trends, patterns and potential issues.
  • Excellent attention to detail and a focus on producing accurate, high-quality work.
  • Good written and verbal communication skills, including the ability to explain data and technical concepts clearly to a non-technical audience.

Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that every colleague needs to display, in every role:

  • Feel what customers feel - We step into our customers’ shoes, using their feedback and insights to empathise with them and to understand their needs, so that every decision we make starts and finishes with our customers in mind.
  • Say it straight - We are brave in speaking out and saying what we think – we’re honest and direct with good intent, openly sharing diverse perspectives to reach the best conclusions and using language everyone can understand.
  • Push for better - We don’t settle for mediocrity, we challenge the status quo, taking responsibility for continuous improvement and personal development.
  • Get it done - We prioritise what will have the greatest impact, we are decisive, and we take accountability for delivering brilliant customer outcomes.

You can strengthen your application by showing how our customer first behaviours resonate with you, and where you may have already demonstrated these.

Data Intelligence Analyst (Fraud) in Fife employer: Nationwide Group

Nationwide Group is an excellent employer for Tow Truck Operators, offering a supportive work culture that prioritises safety and customer service. Located in the beautiful Northern Beaches of NSW, employees benefit from ongoing training and development opportunities, ensuring personal and professional growth while enjoying a fulfilling career in a dynamic environment.

Nationwide Group

Contact Details:

Nationwide Group Recruitment Team

StudySmarter Expert Advice🤫

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We think you need these skills to ace Data Intelligence Analyst (Fraud) in Fife

SQL
SAS
Python
Data Visualisation
Power BI
Tableau
Analytical Skills

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