Job Overview
Senior Fintech Risk Intelligence & RegTech Systems Specialist – Kuwait
Location: Fully Remote
Region Focus: Kuwait – RegTech, Risk Intelligence, Automated Compliance
Role Level: Senior Specialist
Employment Type: Full-Time, Remote
Role Overview
This role focuses on building advanced regulatory technology (RegTech) ecosystems tailored to Kuwait’s financial regulatory environment, emphasizing automated compliance orchestration, high-fidelity risk intelligence pipelines, and predictive governance models. The specialist will develop real-time supervisory reporting systems, scalable AML/CFT automation frameworks, and intelligent compliance architectures that harmonize financial innovation with rigorous regulatory expectations.
Key Responsibilities
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Engineer automated compliance systems integrating real-time transactional monitoring, anomaly detection, suspicious activity escalation, and standardized reporting workflows.
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Design risk intelligence pipelines using structured data, behavioral analytics, and predictive risk scoring tailored to Kuwaiti regulatory environments.
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Develop high-scale regulatory dashboards supporting multi-entity oversight, regulatory audits, and institutional risk evaluation.
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Collaborate with data engineering and regulatory teams to align supervisory requirements with advanced RegTech automation modules.
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Implement regulatory taxonomies, digital recordkeeping protocols, and identity verification workflows enabling streamlined compliance governance.
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Optimize governance frameworks ensuring continuously updated compliance logic based on evolving Kuwaiti regulatory directives.
Qualifications
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6–10+ years in RegTech, financial risk intelligence, compliance engineering, or digital governance systems.
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Strong understanding of AML/CFT automation, regulatory reporting systems, and real-time risk classification engines.
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Experience designing compliance workflows for GCC or similar regulatory environments.
Preferred Competencies
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Familiarity with AI/ML-driven compliance engines, behaviour-based anomaly detection, and supervisory analytics.
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Strong process engineering and multi-stakeholder communication skills.
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Ability to convert regulatory complexity into automated digital controls.
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