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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.