Fraud Data Scientist

Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Skip to main content Fraud Data Scientist hackajob Northampton, England, United Kingdom Fraud Data Scientist hackajob Northampton, England, United Kingdom 1 week ago Be among the first 25 applicants See who hackajob has hired for this role Report this job Use AI to assess how you fit Get AI-powered advice on this job and more exclusive features. Am I a good fit for this job? Tailor my resume Sign in to access AI-powered advices Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to evaluate your skills Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Sign in to tailor your resume Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.As a Fraud Data Scientist at Barclays, you will be responsible for the development and enhancement of fraud detection systems. Applying advanced analytical methods and data-driven approaches, you’ll improve our ability to detect and prevent fraud across a variety of banking products and services. You’ll work closely with other experts in the field, helping us stay one step ahead in addressing fraud risks.To be successful as a Fraud Data Scientist, you should have experience with:A Degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).Experience in fraud detection, scam prevention, or cybersecurity, ideally in a financial services or banking environment.Proficiency in data analysis, with hands-on experience using tools and languages such as Python, R, SQL and machine learning frameworks.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic...