Fraud Prevention Analyst

NatWest Group; City of Edinburgh; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading financial institution in the UK seeks a Fraud Prevention Analyst to identify and manage fraud risks through data integration and analysis. The ideal candidate will help enhance fraud prevention strategies and must possess strong numerical and technical skills, with a degree in Mathematics, Statistics, or a related field. This role offers an opportunity to develop and implement effective fraud risk management strategies within a collaborative environment.

Qualifications

• Strong technical and numerical skills with experience in risk management tools.
• Experience in statistical modelling and fraud risk prevention strategies.
• Proven numerical skills and education at degree level in a numeric discipline.

Responsibilities

• Identify, assess, and mitigate fraud risks to enhance business processes.
• Monitor and evaluate fraud prevention strategies and performance.
• Develop processes to mitigate potential fraud risks.

Skills

Technical skills

Numerical skills

Risk management tools

Data mining

Education

Degree in Mathematics

Degree in Statistics

Degree in Operational Research

Tools

Database management

Programming languages

Job description

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