Job Overview
Remote Lead Theoretician of Algorithmic Capital & Risk – Saudi Arabia
Location: Remote – Saudi Arabia (GCC)
Employment Type: Full-Time, Remote
Compensation: Premium Base + Equity + Profit-Sharing Opportunities
Overview:
Saudi Arabia seeks a Lead Theoretician of Algorithmic Capital & Risk to formalize provably correct frameworks for decentralized financial systems, integrating stochastic PDEs, homotopy type theory, categorical modeling, and AI-driven systemic reasoning. The role focuses on ontological structuring of risk, liquidity, governance, and compliance across tokenized markets, producing operationally robust and mathematically validated fintech architectures.
Key Responsibilities:
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Construct formal ontologies for digital financial instruments, counterparties, and regulatory relationships, ensuring consistent, provably correct reasoning.
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Model capital flows, systemic risk, and liquidity propagation using stochastic calculus, network theory, and high-dimensional simulations.
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Apply category-theoretic and homotopy type-theoretic abstractions to formalize interdependencies among contracts, settlement protocols, and liquidity networks.
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Design AI-assisted governance engines capable of reasoning about emergent systemic risk, protocol invariants, and dynamic contingency scenarios.
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Collaborate with engineers to embed formal proofs into smart contracts, automated settlements, and regulatory compliance systems.
Required Expertise:
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PhD or equivalent in Formal Logic, Computational Finance, Applied Mathematics, or Ontological Engineering.
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Mastery of stochastic processes, nonlinear PDEs, algorithmic risk modeling, and systemic network analysis.
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Proficiency in Haskell, Python, Coq/Lean, and blockchain development frameworks.
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Strong knowledge of Saudi financial regulations, digital asset governance, and cross-border settlement rules.
Preferred Attributes:
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Publications in formal verification, computational finance, or systemic risk modeling.
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Ability to translate highly abstract mathematical theory into operational fintech architectures.
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Demonstrated experience in ontologically coherent modeling of complex financial domains.
Why This Role:
Lead the creation of mathematically rigorous, ontologically precise, and AI-mediated digital finance systems for Saudi Arabia, redefining risk, governance, and liquidity management across the GCC.
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