Hybrid Fraud Analytics, Data Scientist

Posted 1 hour ago

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About the role

  • Data Scientist leveraging data analytics and machine learning to improve fraud detection systems at Barclays. Collaborating with stakeholders to enhance operational efficiency and strategic decision-making.

Responsibilities

  • Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves.
  • Identification, collection, extraction of data from various sources.
  • Performing data cleaning, wrangling, and transformation to ensure its quality.
  • Development and maintenance of efficient data pipelines.
  • Design and conduct statistical and machine learning models to analyse patterns.
  • Development and implementation of predictive models to forecast future outcomes.
  • Collaborate with business stakeholders to seek opportunities to add value from data.

Requirements

  • Proficiency in SAS, Python, or similar programming languages.
  • Strong knowledge of fraud detection systems.
  • Hands-on experience working with large and complex data sets.
  • A background in statistics or mathematics, with fraud experience.
  • Familiarity with BB Plc businesses.

Benefits

  • Health insurance
  • Professional development opportunities

Job title

Fraud Analytics, Data Scientist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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