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Compliance Data Scientist

United States, New York Employment contract 140000.00 - 155000.00 USD / Year · Job Posted June 30, 2026
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Job Description

Barclays Services Corp. seeks Compliance Data Scientist in New York, NY (multiple positions available): Utilize mathematics and statistics to perform data analysis to support the identification, measurement, and prevention of Conduct Risk. Provide solutions for Financial Crime Anti-Money Laundering (AML) ranging from Transaction Monitoring system optimization through non-linear optimization to the development of bespoke reports and dashboards to identify outlier customer and client behavior. Generate complex insights and actionable Management Information (MI) using Barclays automated dashboard development tools. Enhance the effectiveness and efficiency of the Company’s AML group. Partner with Barclays Technology teams to enhance the quality and structure of data used for subsequent Conduct Risk analytics. Develop innovative ways to gain additional insight from existing data by using graph databases and similar Network Link Analytics approaches. Engage with stakeholders to identify their key problems and needs, keeping up-to-date with external industry development through research and peer-group meetings and conferences. Use Data Visualization tools to produce performance-monitoring metrics for Transaction Monitoring processes. Use data analytics to inform root cause analysis, diagnostics, and to conduct simulations. Produce performance metrics for Market Surveillance processes designed to identify Market Abuse risk. Use data analytics to spot trends and patterns in data that could indicate broader Conduct Risk, including Conduct Risks relating to Financial Crime and/or Market Abuse.

Job Responsibility

  • Utilize mathematics and statistics to perform data analysis to support the identification, measurement, and prevention of Conduct Risk
  • Provide solutions for Financial Crime Anti-Money Laundering (AML) ranging from Transaction Monitoring system optimization through non-linear optimization to the development of bespoke reports and dashboards to identify outlier customer and client behavior
  • Generate complex insights and actionable Management Information (MI) using Barclays automated dashboard development tools
  • Enhance the effectiveness and efficiency of the Company’s AML group
  • Partner with Barclays Technology teams to enhance the quality and structure of data used for subsequent Conduct Risk analytics
  • Develop innovative ways to gain additional insight from existing data by using graph databases and similar Network Link Analytics approaches
  • Engage with stakeholders to identify their key problems and needs, keeping up-to-date with external industry development through research and peer-group meetings and conferences
  • Use Data Visualization tools to produce performance-monitoring metrics for Transaction Monitoring processes
  • Use data analytics to inform root cause analysis, diagnostics, and to conduct simulations
  • Produce performance metrics for Market Surveillance processes designed to identify Market Abuse risk
  • Use data analytics to spot trends and patterns in data that could indicate broader Conduct Risk, including Conduct Risks relating to Financial Crime and/or Market Abuse.

Requirements

  • Utilize mathematics and statistics to perform data analysis to support the identification, measurement, and prevention of Conduct Risk
  • Provide solutions for Financial Crime Anti-Money Laundering (AML) ranging from Transaction Monitoring system optimization through non-linear optimization to the development of bespoke reports and dashboards to identify outlier customer and client behavior
  • Generate complex insights and actionable Management Information (MI) using Barclays automated dashboard development tools
  • Partner with Barclays Technology teams to enhance the quality and structure of data used for subsequent Conduct Risk analytics
  • Develop innovative ways to gain additional insight from existing data by using graph databases and similar Network Link Analytics approaches
  • Engage with stakeholders to identify their key problems and needs, keeping up-to-date with external industry development through research and peer-group meetings and conferences
  • Use Data Visualization tools to produce performance-monitoring metrics for Transaction Monitoring processes
  • Use data analytics to inform root cause analysis, diagnostics, and to conduct simulations
  • Produce performance metrics for Market Surveillance processes designed to identify Market Abuse risk
  • Use data analytics to spot trends and patterns in data that could indicate broader Conduct Risk, including Conduct Risks relating to Financial Crime and/or Market Abuse.

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