System Data Analytics Specialist (Fraud / Callsign Optimization)

CAPITEXBanking, Fraud Prevention

GlobalContractSenior

Salary not disclosed

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Job Details

Languages: English, Arabic
Experience: 5+ years
Required Skills: PythonSQLData AnalysisMachine LearningData visualizationRisk Management

Proven experience working directly with Callsign (configuration, tuning, or analytics)
5+ years of experience in fraud prevention, risk analytics, or authentication systems in the banking sector
Strong SQL, Python, and data visualization skills (e.g., Power BI, Tableau)
Familiarity with behavioral biometrics, device fingerprinting, and event-based fraud modeling
Excellent analytical mindset and ability to interpret complex data flows
Strong communication skills in English (Arabic is a plus)
Experience with machine learning models used for fraud or risk scoring (preferred)
Exposure to other fraud platforms (e.g., ThreatMetrix, Feedzai, SAS Fraud Management) (preferred)
Knowledge of regulatory environments in MENA banking and SAMA compliance standards (preferred)

Calibrate and fine-tune Callsign fraud detection and authentication engine
Analyze data models, risk signals, and rule outputs
Work on continuous improvement of Callsign workflows, journeys, and intervention logic
Conduct deep analytics on fraud event data, behavioral biometrics, and system logs
Build dashboards, performance metrics, and reporting pipelines
Configure system integrations between Callsign and core banking systems, APIs, or orchestration layers
Support the deployment of new fraud scenarios and machine learning models
Manage test environments, perform regression testing, and validate production changes
Liaise with fraud strategy, IT security, and vendor teams
Document configurations, model changes, and system updates
Provide expert guidance on Callsign data structures, risk scoring, and orchestration capabilities

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