Job Overview
Chief Quantitative Ontologist of Digital Asset Governance – Qatar
Location: Remote – Qatar (GCC)
Employment Type: Full-Time, Remote
Compensation: Premium Base + Performance Incentives + Equity
Overview:
Qatar seeks a Chief Quantitative Ontologist of Digital Asset Governance to formalize ontological structures, risk hierarchies, and multi-layered stochastic models for tokenized financial instruments and cross-border capital flows. The role fuses tensor calculus, category-theoretic abstractions, stochastic PDE modeling, AI-assisted reasoning, and formal logic to ensure provably coherent, operationally robust, and regulatory-compliant financial systems.
Key Responsibilities:
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Construct high-dimensional tensor networks and stochastic PDEs for modeling liquidity shocks, settlement delays, and counterparty exposures.
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Develop formal ontologies linking digital assets, contracts, counterparties, and regulatory constraints, enabling automated compliance reasoning.
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Integrate Bayesian inference, Markov decision processes, and stochastic optimal control for adaptive capital allocation and risk mitigation.
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Apply graph-theoretical and topological methods to detect systemic vulnerabilities, cascading failures, and emergent arbitrage opportunities.
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Lead cross-functional teams of AI engineers, quantitative researchers, and blockchain architects to operationalize formal ontologies into production-ready fintech solutions.
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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Experience in decentralized finance platforms, real-time payment systems, and AI-driven regulatory compliance.
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Proficiency in Python, Julia, Coq/Lean theorem proving, and blockchain SDKs.
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Strong knowledge 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 precise modeling of complex financial systems.
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Ability to translate highly abstract mathematical reasoning into operational, scalable fintech systems.
Impact:
Lead the creation of a provably coherent, AI-mediated digital asset ecosystem in Qatar, merging stochastic finance, formal ontology, and operational governance into a unified framework.
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