Job Overview
Global Director of AI-Driven Financial Intelligence & Risk Analytics – State of Qatar (Remote Fintech Role)
Location: Remote – Qatar Market Focus
Employment Type: Full-Time | Executive-Level
Sector: Financial Intelligence | Artificial Intelligence | RegTech & Risk Analytics
Position Overview
The Global Director of AI-Driven Financial Intelligence & Risk Analytics will oversee the conceptualization, design, and governance of Qatar’s advanced AI-powered financial intelligence systems.
This executive role bridges data science, risk analytics, and digital compliance to develop adaptive intelligence models that strengthen financial resilience, systemic stability, and regulatory oversight across the fintech ecosystem.
The incumbent will shape the integration of AI-driven compliance engines, predictive risk models, and autonomous data governance frameworks, ensuring alignment with global standards for transparency, agility, and accountability.
Core Responsibilities
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Architect and operationalize a comprehensive AI-driven financial intelligence platform, integrating machine learning pipelines for fraud detection, AML monitoring, and predictive credit analytics.
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Lead enterprise-wide data orchestration for dynamic regulatory reporting, audit automation, and anomaly detection.
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Establish governance policies for ethical AI deployment, algorithmic accountability, and data protection compliance.
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Oversee collaboration with fintech startups, regulatory agencies, and academic institutions for cross-sector innovation.
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Direct multi-layered risk intelligence modeling supporting early-warning systems for financial institutions.
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Introduce quantum computing feasibility studies for future financial data processing efficiency.
Candidate Profile
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12–16 years of experience in AI strategy, fintech analytics, or digital risk governance.
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Advanced technical competence in machine learning algorithms, data modeling, and AI system security.
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Expertise in financial crime prevention systems, data ethics, and international supervisory frameworks.
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Global exposure to RegTech and SupTech systems development.
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Exceptional analytical, leadership, and cross-border project governance skills.
Preferred Qualifications
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Master’s or PhD in Artificial Intelligence, Financial Engineering, or Computational Economics.
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Professional certifications in Risk Analytics, Data Science, or Financial Regulation (CAMS, CFA, or equivalent).
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Proven record in designing AI compliance infrastructure or predictive financial intelligence systems.
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