System Data Analytics Specialist (Fraud / Callsign Optimization)

Job Title:System Data Analytics Specialist (Fraud / Callsign Optimization)

Location:Remote (Global)
Contract Duration:6 months (with possible extension)
Client:Leading Saudi Arabian Bank
Type:Contract / Consultant

About the Role

We are seeking aSystem Data Analytics Specialistwith deep technical expertise infraud analytics, digital identity systems, and Callsign platform optimization. The ideal candidate will havehands-on experience configuring, tuning, and optimizing Callsignor similar fraud detection and authentication systems within a banking or financial services environment.

You will play a key role inenhancing the accuracy, performance, and effectivenessof fraud detection rules and behavioral analytics. Working closely with fraud strategy, risk, and technology teams, you’ll ensure the Callsign system is delivering maximum protection with minimal customer friction.

Key Responsibilities

• System Optimization & Tuning
• Calibrate and fine-tune theCallsign fraud detection and authentication enginefor 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.

• Data Analysis & Insights
• 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.

• Technical Implementation
• 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.

• Stakeholder Collaboration
• 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.

Required Skills & Experience

• Mandatory:
• Proven experience working directly withCallsign(configuration, tuning, or analytics).
• 5+ years of experience infraud prevention, risk analytics, or authentication systemsin the banking sector.
• StrongSQL, Python, and data visualizationskills (e.g., Power BI, Tableau).
• Familiarity withbehavioral 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).

• Preferred:
• Experience withmachine learning modelsused for fraud or risk scoring.
• Exposure toother fraud platforms(e.g., ThreatMetrix, Feedzai, SAS Fraud Management).
• Knowledge of regulatory environments inMENA bankingandSAMAcompliance standards.

What’s Offered

• Fully remote engagement– work from anywhere.
• 6-month contract, with possibility of renewal.
• Opportunity to work with atop-tier Saudi financial institutionon a strategic fraud prevention initiative.
• Competitive daily rate, commensurate with experience.