Capitex
11 - 50 employees
💸 Finance
📋 Compliance
🎯 Recruiter
Finance • Compliance • Recruitment
Capitex is a specialist provider of anti-financial crime staffing and solutions. The company offers both interim and permanent staffing solutions, deploying tactical teams for financial crime compliance resources. With a proven track record in areas such as KYC, AML, fraud, and transaction monitoring, Capitex operates a flexible and scalable resource model to support time-critical projects. Led by Founder and Group CEO Tyler Sullivan, Capitex ensures a reliable and cost-efficient solution for clients through its experienced team. Based in London and Dubai, the company provides a full turn-key solution including outsourcing processes like staff deployment, training, and logistical support.
System Data Analytics Specialist – Fraud, Callsign Optimization
Job not on LinkedIn
🕒 March 18
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Capitex
11 - 50 employees
💸 Finance
📋 Compliance
🎯 Recruiter
Finance • Compliance • Recruitment
Capitex is a specialist provider of anti-financial crime staffing and solutions. The company offers both interim and permanent staffing solutions, deploying tactical teams for financial crime compliance resources. With a proven track record in areas such as KYC, AML, fraud, and transaction monitoring, Capitex operates a flexible and scalable resource model to support time-critical projects. Led by Founder and Group CEO Tyler Sullivan, Capitex ensures a reliable and cost-efficient solution for clients through its experienced team. Based in London and Dubai, the company provides a full turn-key solution including outsourcing processes like staff deployment, training, and logistical support.
📋 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/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.
🎯 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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