Job Overview
Chief Strategist – Quantitative WealthTech & Algorithmic Portfolio Infrastructure & Digital Asset Analytics (Qatar)
Location: Remote (Aligned with Qatar’s Emerging WealthTech & Digital Investment Landscape)
Industry: Fintech – WealthTech, Algorithmic Investment Systems, Digital Asset Analytics
Employment Type: Full-Time, Remote
Seniority Level: Chief Strategist
Focus Domain: Quantitative Finance, Algorithmic Investment Frameworks, Multi-Asset Digital Wealth Systems
Role Summary
The Chief Strategist will design Qatar-aligned WealthTech ecosystems that unify quantitative modelling, AI-driven investment strategies, multi-asset digital portfolio systems, and advanced risk-optimization engines. This role defines the computational, analytical, and governance architecture that enables next-generation digital investment platforms serving high-net-worth and institutional markets. The strategist must combine quantitative finance expertise with scalable fintech system design and digital-asset intelligence.
Key Responsibilities
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Develop algorithmic investment engines supporting equities, fixed income, digital assets, structured instruments, and multi-factor investment models.
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Architect high-assurance portfolio-optimization platforms integrating stochastic modelling, behavioural signals, macro-economic indicators, and scenario simulations.
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Build digital wealth ecosystems leveraging predictive analytics, machine learning, and global market intelligence feeds.
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Establish infrastructure for tokenized investment vehicles, regulated digital asset inclusion, and cross-platform portfolio aggregation.
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Lead development of risk-governance frameworks featuring volatility mapping, liquidity stress tests, systemic-risk scoring, and diversified hedging logic.
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Construct data pipelines and compute clusters enabling continuous algorithmic refinement, dynamic strategy testing, and real-time portfolio rebalancing.
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Align system design with Qatar’s regulatory modernization goals and international WealthTech compliance expectations.
Requirements
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10+ years in quantitative finance, digital investment architecture, or advanced WealthTech engineering.
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Expertise in algorithmic trading systems, financial modelling, multi-asset optimization, and data-driven portfolio intelligence.
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Strong knowledge of GCC wealth-management regulatory environments, particularly Qatar.
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Graduate or postgraduate degree in Quantitative Finance, Econometrics, Financial Engineering, or Computer Science.
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