Fraud Prevention Analyst

#R-00182206
Location
Manchester, United Kingdom
Contract
Permanent - Full Time
Brand
NatWest Group
Job category
Data, Insights & Analytics - Business Strategy & Delivery
Posted
04/08/2022
Closing date for applications: 25/08/2022

Our people work differently depending on their jobs and needs. From home working to job sharing, visit the remote and flexible working page on our website to find out more.

This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

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, so we can optimise our ability to prevent fraud activity
  • Provide ongoing, in-depth analysis that will identify existing and emerging fraud trends which will influence business decision making  
  • Build and maintain strong internal and external business relationships, 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 applying statistical modelling and evaluation techniques to the development of fraud risk prevention strategies 
  • A degree level qualification in a numeric discipline like Mathematics, Statistics or Operational Research  
  • Strong database management skills and other programming languages, and proven experience in interpreting management information (MI)  

If you need any adjustments to support your application, such as information in alternative formats or special requirements to access our buildings, or if you’re eligible under the Disability Confident Scheme please contact us and we’ll do everything we can to help.