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Provide leadership expertise to analyze, recommend, develop and implement data drive solutions to uplift overall CFS Risk & Prevention risk surveillance capabilities covering Sales, AML and Operations risk.
Provide thought leadership to CFS R&P team so they can visualize how data led techniques - such as machine learning - could significantly change the way that Compliance Operates.
Improve effectiveness and efficiency of compliance monitoring activities and processes leveraging on data analytics capabilities.
Support the development, execution and refinement of automated systems for AML, Sales and Operations Surveillance to detect and validate suspicious transactions for escalation.
Support adhoc reporting requests from the CFS R&P team.
Be the GCAD expert on regulatory and compliance related data matters.
Qualifications General Knowledge & Experience:
Be updated on industry risk surveillance trends and capabilities for application consideration within CFS
Previous data analytics experience in Risk Surveillance and/or Audit capacity covering at least 2 or more (AML/Sales/Operations/Fraud) categories preferred.
Demonstrated Forward thinking approach and initiatives in risk management via data analytics
Programming & Data:
Exposure to database or analytical marketing functions.
Some prior exposure to analytical software tools of leading analytical software tools (such as SAS / SPSS / R / Spark); leading database environments (Oracle / Teradata / Hadoop / SQL); reporting tools (Qlikview / Tableau / Cognos) and/or contact management platforms (Siebel / Pega).
Ability to analyse, identify, visualize and describe key trends within large datasets