Senior Theoretician of Algorithmic Finance & Systemic Governance

Job Overview

Remote Senior Theoretician of Algorithmic Finance & 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 Senior Theoretician of Algorithmic Finance & Systemic Governance to construct provably correct, ontologically coherent frameworks for decentralized financial networks, integrating high-dimensional stochastic PDEs, category theory, homotopy type theory, and AI-driven systemic reasoning. The position focuses on formalizing risk, liquidity, contract dependencies, and governance protocols across tokenized and traditional financial markets, producing operationally robust, mathematically validated fintech architectures.

Key Responsibilities:

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

• Model capital flows, liquidity shocks, and risk propagation using stochastic PDEs, network theory, and high-dimensional simulations.

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

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

• Collaborate with engineers to embed formal proofs into smart contracts, automated settlement mechanisms, 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 risk modeling, and network theory.

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

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

Preferred Attributes:

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

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

• Demonstrated experience in ontologically coherent modeling of complex financial domains.

Impact:

Create a mathematically rigorous, ontologically precise, AI-mediated digital finance paradigm for Saudi Arabia, advancing systemic risk management, governance, and liquidity orchestration across the GCC.

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