Job Overview
Executive Director of Real-Time Financial Intelligence & Transactional Data Science – Remote (Qatar)
Location: Remote — With policy and infrastructure alignment to Qatar Central Bank’s Fintech Strategy, the QFC Regulatory Authority, and Qatar National Vision 2030
Seniority Level: Executive Director / Chief Transactional Intelligence Officer
Specialization: Real-Time Financial Analytics / Payment Intelligence / Data-Driven Fraud & Credit Risk Modelling
Languages: English (mandatory), Arabic (preferred)
Sector: Fintech / Data Science / Intelligent Payments / Fraud and Compliance Analytics
Overview:
Qatar’s rapid digital financial evolution — including the expansion of open banking, instant payments, and AI-backed financial security — has necessitated the emergence of new intelligent systems capable of managing billions of real-time data signals from mobile payments, digital wallets, instant transfers, and crypto-linked retail behaviors.
As the Executive Director of Real-Time Financial Intelligence & Transactional Data Science, you will architect the analytical backbone for Qatar’s financial innovation. Your mandate: deploy next-generation, ultra-low-latency AI systems for predictive fraud detection, real-time behavioral scoring, and adaptive compliance analytics—capable of operating across borders, assets, and customer profiles.
Key Responsibilities:
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Design and deploy a national-scale transactional intelligence platform that ingests and scores real-time financial behavior across all digital channels and fintech networks.
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Build AI/ML algorithms capable of analyzing spatiotemporal signals, anomalous velocity patterns, behavioral biometrics, and transaction layering within milliseconds.
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Develop real-time fraud detection engines capable of auto-intervening in high-risk transactions with dynamic thresholds.
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Integrate psychometric-based credit scoring models trained on mobile usage, geospatial mobility, and financial touchpoint diversity.
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Lead the fusion of financial graph theory, event-streaming architectures (Kafka/Apache Flink), and data lakehouses to support intelligent payment routing.
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Advise central regulatory authorities on integrating real-time risk scoring into digital bank and PSP licensing regimes.
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Ensure full regulatory compliance with QCB frameworks, FATF, and GDPR-aligned privacy mandates.
Preferred Background:
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12+ years in transactional analytics, credit risk science, or real-time fraud modeling.
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Experience designing ultra-low-latency infrastructure for financial markets or payments.
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Advanced degree in Data Science, Financial Engineering, or Applied AI in Finance.
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Proven record in GCC or global regulatory technology deployment.
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