Lead Theoretician of Algorithmic Risk & Governance

Job Overview

Remote Lead Theoretician of Algorithmic Risk & 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 Risk & Governance to construct provably correct models for decentralized financial systems, integrating stochastic PDEs, high-dimensional measure-theoretic probability, homotopy type theory, and AI-driven predictive governance. The role formalizes the ontology of risk, liquidity, contracts, and regulatory compliance across tokenized markets, ensuring operational robustness, mathematical rigor, and systemic resilience.

Key Responsibilities:

• Develop formal ontologies for digital assets, counterparties, and governance protocols, enabling automated reasoning about systemic risk, capital dependencies, and regulatory constraints.

• Model capital flows, systemic risk propagation, and liquidity shocks using stochastic calculus, PDE-based simulations, and network theory.

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

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

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

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

Preferred Attributes:

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

• Ability to translate advanced mathematical theory into operational fintech architectures.

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

Impact:

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

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