Data Scientist

Responsibilities

• Monitor customer accounts for suspicious or fraudulent activities and conduct detailed investigations.
• Develop and implement fraud prevention strategies and procedures using advanced detection tools and technologies.
• Design and build data pipelines to automate data movement and processing.
• Investigate and analyze data issues related to quality, lineage, and authoritative source identification.
• Manage and develop KPIs to measure the effectiveness of fraud prevention operations.
• Collaborate with internal stakeholders and law enforcement agencies to resolve potential fraud cases.
• Report fraud incidents and identify trends in regulatory requirements and internal policies.

Requirements

• Expertise in SQL, SAS, and Python.
• Strong background in Data Analytics and Reporting.
• Proficiency in data visualization tools such as Power BI or Tableau.
• Experience in data pipeline design and data quality investigation.
• Strong analytical skills to interpret complex data and make informed decisions in a fast-paced environment.
• Excellent communication and interpersonal skills to present findings to stakeholders.

About the Company

Barclays is a leading global financial institution committed to excellence, integrity, and service. We foster a culture of collaboration and innovation, empowering our people to make a difference while maintaining the highest standards of risk management and customer care.