Job Overview
Lead Digital Wealth & Algorithmic Portfolio Engineering Director – Qatar
Location: Remote (Qatar-Based Role)
Employment Type: Full-Time, High-Level Fintech–Digital Wealth Function
Seniority: Director–Executive Level
Role Overview
This role provides strategic and technical leadership over next-generation digital wealth management systems, with a focus on building algorithmically optimized portfolios, automated advisory frameworks, and intelligent wealth platforms tailored to Qatar’s rising investor ecosystem. The Director of Digital Wealth & Algorithmic Portfolio Engineering will drive product vision, quant model innovation, risk calibration methodologies, and cross-asset optimization strategies that align with Qatar’s national digital transformation strategy.
Key Responsibilities
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Architect enterprise-grade digital wealth platforms, integrating portfolio automation engines, predictive financial modeling, robo-advisory modules, and multi-asset risk-balancing algorithms.
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Build quant-driven investment models incorporating factor analysis, volatility clustering, dynamic rebalancing, predictive macro-modulation, and real-time market signal extraction.
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Oversee development of investor profiling frameworks using psychometric assessment, behaviour segmentation, wealth trajectory prediction, and automated suitability filtering.
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Design multi-tier risk governance structures spanning capital adequacy modelling, exposure thresholds, automated trade-execution constraints, and cross-market risk harmonization.
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Innovate cross-border investment access layers enabling global asset access aligned with Qatar’s investment regulatory frameworks.
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Lead product engineering teams responsible for performance optimization, secure data architecture, encryption governance, and scalable cloud-based wealth processing systems.
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Establish strategic roadmaps for emerging wealth technologies, including tokenized investment assets, AI-driven financial coaching, sustainability risk scoring, and next-gen hybrid advisory models.
Required Expertise
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10+ years in wealth-tech, algorithmic investment systems, quantitative portfolio engineering, or institutional asset optimization.
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Strong proficiency in quantitative modeling languages, cross-asset risk dynamics, financial data engineering, and high-performance compute infrastructures.
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Deep understanding of Qatar’s investment regulatory frameworks, cross-border asset rules, and investor protection standards.
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Proven experience in building enterprise-level digital wealth systems with measurable performance gains.
Ideal Candidate Profile
A quantitative visionary with the ability to architect intelligent, globally integrated wealth ecosystems built for scale, resilience, and investor-centric performance optimization.
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