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System Data Analytics Specialist (Fraud / Callsign Optimization)

4 months, 2 weeks ago
United Kingdom, Saudi Arabia, United Arab Emirates
Contract
Senior
Analytics Engineer
Data Science and Analytics
Machine Learning Power BI Python SQL Tableau
Apply Now

Capitex

Capitex is a staffing, recruiting, training, and solutions provider focused exclusively on financial crime compliance. It offers contract and interim staffing, executive search, rapid response teams, compliance and advisory services, and training support across AML, KYC/CDD/EDD, sanctions, fraud, and transaction monitoring for regulated financial institutions.

Staffing and Recruiting
11-50
Founded 2021
View All Jobs 6

Description

  • 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 and false negatives and optimize model thresholds.
  • Continuously improve Callsign workflows, customer journeys, and intervention logic to balance security and user experience.
  • Conduct deep analytics on fraud event data, behavioral biometrics, device fingerprints, and system logs to surface insights and trends.
  • Build dashboards, performance metrics, and reporting pipelines to monitor Callsign efficacy and operational KPIs.
  • Collaborate with fraud analytics, fraud strategy, and IT security teams to detect emerging threats and implement mitigations.
  • Configure system integrations between Callsign and core banking systems, APIs, or orchestration layers.
  • Support deployment of new fraud scenarios and machine learning models, manage test environments, perform regression testing, and validate production changes.
  • Document configurations, model changes, and system updates and provide expert guidance on Callsign data structures, risk scoring, and orchestration capabilities.

Requirements

  • Proven hands-on experience working directly with Callsign (configuration, tuning, or analytics).
  • 5+ years of experience in fraud prevention, risk analytics, or authentication systems within the banking/financial services sector.
  • Strong SQL and Python skills for data analysis and scripting.
  • Experience with data visualization tools such as Power BI or Tableau.
  • Familiarity with behavioral biometrics, device fingerprinting, and event-based fraud modeling.
  • Excellent analytical mindset and ability to interpret complex data flows and system logs.
  • 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 such as ThreatMetrix, Feedzai, or SAS Fraud Management (preferred).
  • Knowledge of MENA banking regulatory environments and SAMA compliance standards (preferred).

Benefits

  • Fully remote engagement with the ability to work from anywhere.
  • 6-month contract with the possibility of renewal or extension.
  • Opportunity to work with a top-tier Saudi financial institution on a strategic fraud prevention initiative.
  • Competitive daily rate commensurate with experience.

Interested in this position?

Apply directly on the company website

Apply Now

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