Fraud Prevention Analyst

NatWest Group; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A major banking institution is seeking a Fraud Prevention Analyst to identify, assess, and mitigate fraud risks. This role involves evaluating data sources, enhancing fraud prevention strategies, and developing analytics to inform decision-making. The ideal candidate will have strong numerical skills, experience with risk management tools, and a degree in a numeric discipline. Join us in promoting a culture that effectively manages fraud risk within the business.

Qualifications

• Strong technical and numerical skills.
• Experience in using risk management tools and techniques.
• Proven numerical and technical skills educated to degree level.

Responsibilities

• Identify, assess, and report on fraud risk.
• Monitor performance of fraud prevention processes.
• Evaluate data sources to enhance fraud prevention strategies.

Skills

Technical skills

Numerical skills

Risk management techniques

Data modelling

Behavioral scoring systems

Education

Degree in Mathematics, Statistics or Operational Research

Tools

Credit scoring systems

Data mining tools

Statistical modelling software

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