Remote Lead Theoretician of Algorithmic Capital & Systemic Governance

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 Opportunities

Overview:

Saudi Arabia seeks a Lead Theoretician of Algorithmic Capital & Systemic Governance to construct mathematically rigorous frameworks for decentralized financial networks, integrating stochastic PDEs, high-dimensional measure-theoretic probability, category theory, homotopy type theory, and AI-driven systemic reasoning. The position formalizes risk, liquidity, contract interdependencies, and governance protocols across tokenized markets, producing operationally robust, provably coherent fintech architectures.

Key Responsibilities:

• Develop formal ontologies for digital assets, counterparties, and governance protocols, enabling automated reasoning about systemic risk and compliance.

• Model capital flows, liquidity shocks, and contagion effects using stochastic PDEs, network theory, and tensor-based high-dimensional simulations.

• Apply category-theoretic and homotopy type-theoretic abstractions to encode dependencies among contracts, settlements, and liquidity networks.

• Design AI-assisted governance engines capable of reasoning about emergent systemic risk, validating protocol invariants, and executing contingency strategies.

• Collaborate with engineers to embed formal proofs into smart contracts, automated settlements, and regulatory compliance engines.

Required Expertise:

• PhD or equivalent in Formal Logic, Computational Finance, Applied Mathematics, or Ontological Engineering.

• Mastery of stochastic processes, nonlinear PDEs, high-dimensional networked risk modeling.

• Proficiency in Haskell, Python, Coq/Lean, and blockchain frameworks.

• Deep knowledge of Saudi financial regulations, digital asset governance, and cross-border settlement systems.

Preferred Attributes:

• Publications in formal verification, systemic risk modeling, or computational finance.

• Ability to translate highly abstract mathematical theory into operational fintech architectures.

• 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, redefining governance, liquidity management, and systemic risk mitigation across the GCC.

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