Job Overview
Director of Supervisory AI and Regulatory Technology Infrastructure – Remote (Oman)
Location: Remote — Strategically aligned with Oman’s fintech regulatory modernization under the Central Bank of Oman and Capital Market Authority
Seniority Level: Director / Regulatory Systems Architect / Lead AI Technologist
Specialization: RegTech / Supervisory AI / Predictive Compliance / Regulatory Engineering
Languages: English (required), Arabic (preferred)
Sector: Fintech / RegTech / Financial Supervision / Regulatory Intelligence
Position Overview:
As Oman progresses toward a more agile and data-intelligent financial regulatory regime, a cutting-edge remote role is now open for a Director of Supervisory AI and Regulatory Technology Infrastructure. This role involves designing and implementing next-generation regulatory intelligence systems — AI-powered tools for supervising digital finance ecosystems, detecting systemic risks, and optimizing regulatory responsiveness in real time.
You will be the technical and strategic architect of a modular, multi-layered RegTech stack — spanning behavioral analytics, real-time AML pattern recognition, embedded compliance modules in fintech APIs, and cross-market surveillance engines — empowering the Sultanate to leapfrog legacy financial oversight systems.
Key Functions:
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Lead development of AI-enabled supervisory platforms to ingest, clean, and analyze large volumes of fintech transactional and behavioral data.
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Build automated compliance surveillance pipelines using machine learning, graph theory, anomaly detection, and token activity tracking.
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Design regulatory API middleware that interfaces seamlessly with digital wallets, payment platforms, lending marketplaces, and DeFi systems.
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Construct predictive risk dashboards that score entities based on financial behavior, system vulnerabilities, and cross-institutional patterns.
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Integrate zero-trust cybersecurity models, digital identity protocols, and privacy-preserving analytics for regulatory operations.
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Collaborate with the Central Bank of Oman, CMA, and regional peer regulators on the creation of a GCC-wide supervisory intelligence alliance.
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Implement reg-layer sandboxes, digital audit trails, and smart contract rule enforcement mechanisms across fintech ecosystems.
Candidate Profile:
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12+ years in regulatory technology, compliance architecture, or supervisory data systems.
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Mastery of financial compliance frameworks (Basel III, FATF, GDPR-equivalents) and cross-jurisdictional fintech risk exposure.
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Practical experience with AI/ML in structured and unstructured financial datasets.
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Background in RegTech system design, financial law, and emerging regulatory regimes across the GCC or EU.
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Graduate degree in Legal Informatics, Regulatory Data Science, or Fintech Policy Architecture.
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