Job Overview
Remote Lead Theoretician of Algorithmic Capital & Systemic Governance – Saudi Arabia
Location: Remote – Saudi Arabia (GCC)
Employment Type: Full-Time, Remote
Compensation: Premium Base + Equity + Profit-Sharing
Overview:
Saudi Arabia seeks a Lead Theoretician of Algorithmic Capital & Systemic Governance to construct provably rigorous frameworks for decentralized financial networks, integrating stochastic PDEs, measure-theoretic probability, tensor calculus, category theory, homotopy type theory, and AI-driven systemic reasoning. The role formalizes risk, liquidity, contract interdependencies, and governance protocols across tokenized markets, producing operationally robust, mathematically validated fintech architectures.
Key Responsibilities:
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Develop formal ontologies for digital assets, counterparties, and governance frameworks to automate reasoning about systemic risk, liquidity propagation, and regulatory compliance.
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Model capital flows, liquidity shocks, and risk contagion using stochastic PDEs, tensor networks, and high-dimensional simulations.
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Apply category-theoretic and homotopy type-theoretic abstractions to formalize interdependencies among contracts, settlements, and cross-border liquidity networks.
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Design AI-assisted governance engines capable of reasoning about emergent systemic risks, validating protocol invariants, and executing automated contingency strategies.
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Collaborate with engineers to embed formal proofs into smart contracts, automated settlement mechanisms, and compliance engines.
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, high-dimensional networked risk modeling, and systemic network theory.
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Proficiency in Haskell, Python, Coq/Lean, and blockchain frameworks.
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Deep understanding of Saudi financial regulations, digital asset governance, and cross-border settlement protocols.
Preferred Attributes:
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Publications in formal verification, systemic risk modeling, or computational finance.
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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.
Impact:
Construct a mathematically rigorous, ontologically precise, AI-mediated digital finance ecosystem in Saudi Arabia, transforming systemic risk governance, liquidity management, and algorithmic capital orchestration across the GCC.
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