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- Tasks: Identify and mitigate fraud risks while monitoring prevention strategies.
- Company: Join a dynamic team focused on safeguarding against fraud.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for growth.
- Other info: Closing date for applications is 10/07/2025.
- Why this job: Make a real impact in fraud prevention and develop valuable skills.
- Qualifications: Degree in Mathematics, Statistics or similar; strong analytical skills required.
The predicted salary is between 28800 - 42000 £ per year.
Join us as a Fraud Prevention Analyst
- You’ll identify, assess, mitigate, monitor and report on fraud risk so we can manage any threat of fraud
- Importantly, you’ll also monitor and evaluate the performance of our fraud prevention processes and strategies
- This is a critical role where you’ll be responsible for promoting a culture that helps us manage fraud risk effectively within the business
What you\\\’ll do
In your new role, you’ll assess and understand external fraud risks associated with our business activities, while reviewing and developing processes to help mitigate those potential fraud risks.
You’ll also:
- Evaluate new data sources and integrate them into our existing strategies, to optimise the banks fraud prevention capabilities
- Support ongoing enhancement of the Fraud MI and reporting suite to develop and deliver accurate timely and meaningful, in-depth analysis that will identify existing and emerging fraud trends which will influence business decision making
- Maintain strong internal and external relationships with stakeholders and vendors, sharing information and data to enhance our fraud prevention capability
- Demonstrate subject matter expertise which will lend itself to the development of new products, systems and processes across the business
The skills you\\\’ll need
We’re looking for someone who has strong technical and numerical skills, with experience in using risk management tools and techniques including credit score systems, data modelling, data mining and behavioural scoring systems.
You\\’ll also have:
- Experience in the application of risk management tools and techniques such as credit scoring systems. Statistical data modelling, data mining and behavioural scoring systems
- Experience in applying statistical modelling and analysis techniques to the development of fraud risk prevention strategies
- Proven numerical and technical skills, educated to degree level in a numeric discipline like Mathematics, Statistics or Operational Research
- Strong database management skills and other programming languages
- Proven record in the effective use and interpretation of management information
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Fraud Prevention Analyst employer: NatWest Group
Contact Detail:
NatWest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Prevention Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in fraud prevention and risk management. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Network with professionals in the fraud prevention field. Attend industry events or join online forums where you can connect with others who work in similar roles, as they may provide insights or even referrals.
✨Tip Number 3
Showcase your technical skills by working on relevant projects or case studies. Having practical examples of how you've applied data modelling or statistical techniques in real-world scenarios can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach evaluating new data sources for fraud prevention. Being able to articulate your thought process and strategies will demonstrate your expertise and readiness for the role.
We think you need these skills to ace Fraud Prevention Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Fraud Prevention Analyst. Familiarise yourself with the key tasks mentioned in the job description, such as assessing fraud risks and evaluating prevention strategies.
Tailor Your CV: Highlight your technical and numerical skills prominently in your CV. Include specific examples of your experience with risk management tools, statistical modelling, and database management to demonstrate your suitability for the role.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job requirements. Emphasise your experience in fraud risk prevention and your ability to analyse data trends, showcasing how you can contribute to the company's goals.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at NatWest Group
✨Understand Fraud Risks
Make sure you have a solid grasp of the types of fraud risks relevant to the company. Research common fraud schemes in the industry and be prepared to discuss how you would identify and mitigate these risks.
✨Showcase Your Technical Skills
Highlight your experience with risk management tools, data modelling, and statistical techniques during the interview. Be ready to provide examples of how you've used these skills in previous roles to prevent fraud.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to demonstrate your analytical thinking. Practice articulating how you would approach specific fraud cases or data analysis challenges.
✨Emphasise Relationship Building
Since the role involves building strong internal and external relationships, be prepared to discuss your experience in collaboration. Share examples of how you've successfully worked with others to enhance fraud prevention efforts.