Job Overview
Director: Financial Intelligence & Algorithmic Risk Governance
Jurisdiction: United Arab Emirates
Overview
This role is framed as an Executive Terms of Reference (ToR), defining accountability for financial intelligence systems, algorithmic risk frameworks, and automated decision architecture.
The position ensures that fintech systems make reliable, transparent, and ethical decisions, integrating AI/ML and predictive analytics into operational risk management.
Mandate Scope
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Architect and govern financial intelligence pipelines for transaction monitoring, credit evaluation, fraud detection, and portfolio risk assessment.
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Establish governance frameworks ensuring explainability, auditability, and regulatory compliance.
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Integrate macroeconomic, transactional, and behavioral data into adaptive, algorithmic decision engines.
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Define monitoring and mitigation strategies for model bias, failure scenarios, and performance degradation.
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Advise on the strategic adoption of AI-driven risk intelligence and predictive analytics in compliance with ethical and regulatory standards.
Key Responsibilities
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Design and implement end-to-end intelligence systems, ensuring resilience, traceability, and operational effectiveness.
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Define lifecycle governance and validation protocols for algorithmic risk models.
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Translate analytical outputs into executive and regulatory reporting frameworks.
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Produce white papers and strategic intelligence briefs on AI trends, predictive analytics, and systemic risk mitigation.
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Mentor and coordinate cross-functional teams spanning data science, compliance, and operational architecture.
Professional Profile
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12+ years in financial risk management, AI-driven analytics, or fintech intelligence systems.
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Strategic expertise in algorithmic decision-making and predictive modeling.
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Strong executive communication skills for boards, regulators, and global stakeholders.
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Demonstrated ethical grounding and experience in governance oversight.
Operating Model
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Fully remote, milestone-based engagement.
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Performance measured on analytical rigor, governance effectiveness, and system reliability.
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Executive-level autonomy with cross-border influence and strategic decision authority.
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