Job Overview
CHIEF FINTECH DATA SCIENCE
Digital Payments Intelligence, Customer Analytics & Enterprise Decision Science
Location: United Arab Emirates
Employment Type: Full-Time | Executive Leadership
Position Overview
A rapidly expanding fintech ecosystem is recruiting a distinguished Chief Fintech Data Science executive to lead enterprise decision science across digital payments, customer intelligence, behavioral analytics, financial product optimization, and intelligent automation.
This executive position requires a transformational leader capable of converting billions of transactional data points into actionable intelligence that enhances customer acquisition, strengthens operational efficiency, optimizes revenue generation, and accelerates innovation throughout the organization.
Working closely with technology, product, operations, compliance, and executive leadership teams, the successful candidate will establish advanced analytical ecosystems that support real-time decision-making while delivering measurable commercial impact.
Strategic Responsibilities
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Develop enterprise decision science strategies supporting sustainable fintech growth.
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Lead advanced customer segmentation and behavioral modeling initiatives.
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Establish predictive analytics frameworks for transaction optimization and payment performance.
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Build AI-powered recommendation engines supporting personalized financial services.
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Design executive dashboards using real-time financial intelligence.
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Direct enterprise experimentation programmes utilizing A/B testing and causal inference.
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Strengthen fraud analytics using anomaly detection and machine learning.
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Develop cloud-native analytical platforms supporting enterprise scalability.
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Create governance frameworks for data quality, model lifecycle management, and analytical integrity.
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Foster a culture of innovation through research, experimentation, and continuous improvement.
Executive Expertise
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Customer Analytics
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Behavioral Data Science
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Payment Intelligence
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Artificial Intelligence
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Data Engineering
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Business Intelligence
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Real-Time Analytics
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Machine Learning
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Experimentation Platforms
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Executive Data Governance
Qualifications
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Master’s degree or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, Economics, or a related field.
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Minimum 15 years of leadership experience in enterprise analytics, fintech, banking technology, or digital finance.
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Expertise in Python, R, SQL, Spark, TensorFlow, PyTorch, Kubernetes, and cloud-native analytics environments.
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Outstanding executive leadership, commercial insight, and organizational development skills.
Benefits
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Executive-level tax-free remuneration.
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Strategic annual incentive programme.
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Comprehensive family healthcare.
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Executive housing allowance.
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International research and innovation funding.
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Professional certification sponsorship.
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Executive mentoring.
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Regional leadership development opportunities.
Are you excited about this opportunity?
Don’t miss the chance to make a difference in the fintech and FX industry!
Apply now by clicking on the “Apply Now” button below.
Let’s shape the future of finance together!
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