Job Overview
Remote Chief Quantitative Ontologist of Tokenized Assets – Qatar
Location: Remote – Qatar (GCC)
Employment Type: Full-Time, Remote
Compensation: Premium Base + Performance Incentives + Equity
Overview:
Qatar seeks a Chief Quantitative Ontologist of Tokenized Assets to formalize the ontological and mathematical structure of digital instruments, capital flow hierarchies, and AI-driven governance frameworks. The role fuses high-dimensional stochastic PDEs, tensor calculus, category-theoretic financial abstractions, homotopy type theory, and formal ontologies to produce provably coherent, operationally scalable, and regulatory-compliant financial systems.
Key Responsibilities:
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Construct multi-dimensional tensor networks and stochastic PDE frameworks modeling liquidity stresses, settlement delays, and counterparty exposures.
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Develop formal ontologies linking digital assets, contracts, counterparties, and regulatory constraints for automated reasoning and compliance validation.
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Apply Bayesian inference, Markov decision processes, and stochastic optimal control for adaptive capital allocation, risk mitigation, and dynamic liquidity management.
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Utilize graph-theoretical and topological analysis to identify systemic vulnerabilities, cascading failures, and emergent arbitrage opportunities.
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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 high-dimensional stochastic calculus, measure-theoretic probability, tensor networks, and convex optimization.
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Expertise in decentralized finance platforms, 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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Strong understanding of Qatar Central Bank regulations, GCC cross-border settlement protocols, and ISO 20022 standards.
Preferred Attributes:
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Publications in computational finance, formal verification of smart contracts, or systemic risk modeling.
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Demonstrated experience in ontologically rigorous financial network modeling.
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Ability to translate highly abstract mathematical reasoning into operational, scalable fintech solutions.
Impact:
Lead the creation of Qatar’s most mathematically precise, AI-driven, and ontologically coherent digital asset ecosystem, merging stochastic finance, formal ontology, and operational governance into a unified framework.
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