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Barclays

Fraud Analytics, Data Scientist

Barclays

. Identify, collect, and extract data from internal and external sources .

Posted 10/23/2026full-timeGlasgow • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data extraction, transformation, and analysis, with a strong focus on developing predictive models and applying machine learning techniques for fraud detection. Proven ability to collaborate with stakeholders and lead teams to drive data-driven decision-making and operational excellence.

Highest-signal resume keywords
Proficiency In SQLProficiency In PythonFraud Detection Systems KnowledgeStatistical Analysis BackgroundExperience With Large Data Sets

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ExtractionData TransformationAutomated Data PipelinesStatistical ModelingMachine LearningPredictive ModelingData WranglingAnalytics OptimizationRisk MitigationPerformance Assessment
Soft Skills
CollaborationCoachingCommunicationDecision-MakingInfluencing
Tools & Technologies
SASSQLPython
Industry Keywords
Fraud DetectionData ScienceOperational ExcellenceBusiness AcumenStrategic Thinking

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Identify, collect, and extract data from internal and external sources
  • Clean, wrangle, and transform data for analysis
  • Develop and maintain efficient automated data pipelines
  • Design and conduct statistical and machine learning models
  • Develop and implement predictive models to forecast outcomes and identify risks and opportunities
  • Collaborate with business stakeholders to create value through Data Science
  • Apply advanced analytics and machine learning in fraud detection systems to detect and deter fraud
  • Support analytics optimisation services and operational excellence
  • Advise and influence decision-making and contribute to policy development
  • Lead complex assignments or teams, set objectives, coach employees, and assess performance where applicable
  • Consult on complex issues and advise People Leaders on escalated matters
  • Mitigate risk and strengthen controls
  • Collaborate across business functions and communicate complex information to stakeholders

Requirements

What you’ll need
  • Proficiency in SQL, SAS, Python, or similar programming languages
  • Strong knowledge of fraud detection systems
  • Hands-on experience working with large and complex data sets
  • Background in statistics or mathematics, with fraud experience is highly valued
  • Familiarity with BB Plc businesses is highly valued
  • Assessment may cover risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills
  • Successful candidate can be based in Glasgow or Northampton