Job Overview
Senior Director – RegTech Infrastructure & Predictive Compliance & Digital Risk Intelligence – Qatar
Role Type: Senior-Level · RegTech Engineering · Digital Compliance · AI-Driven Risk
Location: Remote (aligned with Qatar regulatory modernization initiatives)
Industry Domain: RegTech · Financial Integrity · Cross-Border Regulatory Technology
Position Overview
This role leads the development of Qatar’s future-ready RegTech infrastructure—an intelligent, automated, prediction-driven compliance framework designed to strengthen financial integrity across institutions. The Senior Director will architect the computational, analytical, and governance engines necessary to support real-time risk scoring, dynamic compliance validation, multi-jurisdictional oversight, and advanced financial intelligence workflows.
The ideal candidate is an expert in regulatory engineering, AI-powered fraud analytics, large-scale risk modeling, and cloud-native data systems that enable high-velocity compliance intelligence and supervisory transparency.
Key Responsibilities
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Architect automated regulatory systems integrating AML detection, sanctions monitoring, identity intelligence, and risk scoring powered by adaptive ML models.
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Build Qatar-aligned supervisory reporting pipelines, dynamic compliance heatmaps, and automated audit-trail intelligence.
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Design federated risk frameworks enabling cross-institution data insight, behavior mapping, anomaly detection, and predictive threat classification.
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Implement secure digital identity verification layers using biometric mapping, device-binding intelligence, and continuous authentication.
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Develop compliance orchestration engines that reduce manual intervention, streamline governance, and support multi-regulatory alignment.
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Establish cloud-first, high-trust RegTech data infrastructure supporting high-volume ingestion, real-time analytics, and supervisory integration.
Required Expertise
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10–15 years in RegTech, financial compliance engineering, or digital governance architecture.
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Deep experience in AML/KYC automation, risk modeling, and AI-based anomaly detection.
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Proficiency in cloud-native data systems, streaming analytics, and secure data governance frameworks.
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Strong understanding of GCC regulatory environments and international supervisory standards.
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