Job Overview
Remote Chief Quantitative Ontologist for Digital Assets – Qatar
Location: Remote – Qatar (GCC)
Employment Type: Full-Time, Remote
Compensation: Premium Base + Performance Incentives + Equity
Overview:
Qatar seeks a Chief Quantitative Ontologist for Digital Assets to formalize the ontological and mathematical structure of tokenized instruments, cross-border liquidity, and AI-driven governance frameworks. This role merges tensor calculus, high-dimensional stochastic PDEs, category-theoretic abstractions, homotopy type theory, and formal logic to produce provably coherent and operationally robust fintech systems.
Key Responsibilities:
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Develop multi-dimensional tensor networks and stochastic PDE frameworks for modeling settlement delays, liquidity shocks, and counterparty exposures.
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Construct formal ontologies linking digital assets, smart contracts, counterparties, and regulatory rules, enabling automated compliance reasoning.
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Apply Bayesian inference, Markov decision processes, and stochastic control to optimize capital allocation, risk mitigation, and dynamic liquidity management.
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Utilize topological data analysis and graph-theoretical methods to identify systemic vulnerabilities, emergent arbitrage opportunities, and network fragility.
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Lead cross-functional teams of AI engineers, quantitative researchers, and blockchain developers to translate formal ontologies into operational fintech platforms.
Required Expertise:
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PhD or equivalent in Financial Engineering, Applied Mathematics, AI, or Ontological Computing.
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Mastery of stochastic calculus, measure-theoretic probability, tensor networks, and convex optimization.
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Expertise in decentralized finance, real-time payment systems, and AI-enabled regulatory compliance.
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Proficiency in Python, Julia, Coq/Lean theorem proving, and blockchain SDKs.
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Deep understanding of Qatar Central Bank regulations, GCC cross-border settlement frameworks, and ISO 20022 standards.
Preferred Attributes:
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Publications in computational finance, formal verification of smart contracts, or networked systemic risk.
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Demonstrated experience in ontologically rigorous modeling of complex financial systems.
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Ability to translate highly abstract mathematical reasoning into operational, scalable fintech applications.
Impact:
Lead the creation of Qatar’s most mathematically precise, AI-mediated digital asset ecosystem, integrating stochastic finance, formal ontology, and operational governance into a unified framework.
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