Job Description

Overall Job Purpose:

• Provide 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
Requirements (Knowledge, Skills & Competencies):

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.

o Some prior exposure to analytical software tools of leading analytical software tools (such as Python/SAS/R); leading database environments (Oracle / Teradata / Hadoop / SQL); reporting tools (Power BI/Qlikview / Tableau).

• Ability to analyse, identify, visualize and describe key trends within large datasets
• Machine learning, statistical modeling, visualization

Communication & Soft Skills:

• Good team player
• Good written and oral communication skills and ability to interact effectively with people at different levels
• Positive and progressive behavioral traits

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