Job Overview
Head of Aviation Financial Intelligence, AI-Driven Risk & Predictive Revenue Systems (Qatar)
Strategic Purpose
This senior remote leadership role is dedicated to building AI-driven financial intelligence platforms tailored to aviation ecosystems. The mandate covers predictive revenue modeling, operational risk analytics, fraud prevention, credit exposure analysis, and macro-aviation financial forecasting.
The role blends machine intelligence, aviation economics, and financial risk science to deliver autonomous, data-driven decision systems supporting large-scale aviation operations.
Primary Responsibilities
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Architect AI-native platforms for predictive aviation revenue and cost intelligence.
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Develop real-time risk models for passenger revenue, cargo operations, and supplier exposures.
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Design anomaly detection systems for ticketing fraud, loyalty abuse, and payment irregularities.
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Integrate large-scale data pipelines spanning operational, financial, and market datasets.
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Establish model governance, explainability, and ethical AI standards.
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Translate advanced analytics into strategic insights for executive-level decisioning.
Technical & Analytical Expertise
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Advanced proficiency in machine learning, time-series forecasting, and financial data science.
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Strong command of real-time analytics platforms and scalable data architectures.
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Expertise in fraud analytics, risk intelligence, and financial forecasting systems.
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Experience implementing explainable AI in regulated or mission-critical environments.
Leadership Profile
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10–15 years of experience in financial intelligence, aviation analytics, or AI-driven risk platforms.
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Proven ability to lead advanced analytical teams and initiatives.
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Strong communication skills bridging technical complexity and strategic impact.
Don’t miss the chance to make a difference in the fintech and FX industry!
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