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Job Description
Structured overview of role & requirementsAbout This Role
Implement and maintain fraud detection rules and machine learning models within fraud orchestration engines like Actimize and SAS Fraud Manager to ensure 100% execution accuracy.
Collaborate with fraud strategy teams to validate rule performance, analyze trends and volumes, and recommend improvements.
Analyze operational data to identify patterns and insights that enhance business decision-making and fraud risk management strategies.
Minimum Requirements
2-5 years of relevant experience with SAS, SQL, and Python.
Bachelor's or equivalent university degree.
Understanding of fraud domain and financial crime risk management is required.
Good communication skills for collaboration with cross-functional teams.
Ideal Candidate Profile
Experience working hands-on with fraud orchestration tools (Actimize, SAS Fraud Manager) and related data analysis.
Ability to interpret and modify fraud detection logic, often coded in SQL, ensuring audit compliance and operational accuracy.
Capable of collaborating across teams to influence fraud strategy and provide actionable insights based on data analysis.