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Capitex

Capitex - The Financial Crime Recruitment Company - Interim & Permanent

System Data Analytics Specialist – Fraud, Callsign Optimization

Analytics EngineerAnalytics EngineerContractRemoteSeniorTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

77 days ago

Salary

0

Seniority

Senior

5 yrs expEnglishPythonSQLTableau

Job Description

System Data Analytics Specialist – Fraud, Callsign Optimization

Capitex

• Calibrate and fine-tune the **Callsign fraud detection and authentication engine** for optimal performance. • Analyze data models, risk signals, and rule outputs to identify false positives/negatives and optimize model thresholds. • 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 to monitor Callsign efficacy. • Collaborate with fraud analytics teams to detect trends and emerging threats. • 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 to drive performance improvements. • Document configurations, model changes, and system updates. • Provide expert guidance on Callsign data structures, risk scoring, and orchestration capabilities.

Job Requirements

  • 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.
  • Exposure to **other fraud platforms** (e.g., ThreatMetrix, Feedzai, SAS Fraud Management).
  • Knowledge of regulatory environments in **MENA banking** and **SAMA** compliance standards.

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