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Fraud Technical Data Analyst

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Barclays

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Location:
United Kingdom , Northampton

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Join us as a Fraud Technical Data Analyst where you’ll play a critical role in designing and delivering data-driven solutions that support fraud detection, prevention, and reporting. This technical role blends evaluative depth with strategic insight, enabling collaboration across fraud, data technology, and business teams to protect customers and the organisation from financial crime.

Job Responsibility:

  • Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
  • Designing and building data pipelines to automate data movement and processing
  • Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
  • Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
  • Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs

Requirements:

  • Capturing and translating business needs into scalable technical solutions with stakeholders
  • Using SAS and SQL for data exploration, reporting, and technical processing, working with large datasets
  • Experience with different data management techniques including ETL, CDC, and data warehousing tooling

Nice to have:

  • Experience in fraud prevention, detection or investigation within the financial services sector
  • Certifications in SAS, AWS, or Python, and knowledge of ETL and data warehousing
  • Data visualisation with Tableau or Power BI, and fraud experience in financial services
  • Working across time zones and applying knowledge of Spark, Databricks, and data compliance

Additional Information:

Job Posted:
January 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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