Job Overview
Remote Executive Director of Algorithmic Capital & Systemic Liquidity – United Arab Emirates
Location: Remote – UAE (GCC)
Employment Type: Full-Time, Remote
Compensation: Exceptional Base + Performance Incentives + Equity Participation
Overview:
The UAE is seeking an Executive Director of Algorithmic Capital & Systemic Liquidity to architect a provably coherent digital finance ecosystem capable of navigating high-dimensional stochastic dynamics, multi-agent systemic interactions, and AI-driven liquidity governance. The successful candidate will formalize the ontology of financial instruments, settlement protocols, and regulatory constraints, producing architectures that are simultaneously computationally tractable, mathematically validated, and operationally scalable.
Key Responsibilities:
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Develop multi-agent stochastic partial differential equation models to simulate liquidity propagation, contagion effects, and emergent market behavior in tokenized ecosystems.
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Construct category-theoretic frameworks representing compositional relations between financial contracts, decentralized exchanges, and cross-border payment networks.
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Implement homotopy type theory for financial contract verification, ensuring provable invariants across distributed ledgers and smart contract protocols.
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Build ontologically coherent knowledge graphs integrating counterparties, instrument hierarchies, capital flows, and compliance mandates.
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Lead transdisciplinary teams of quantitative engineers, cryptoeconomists, and AI researchers, designing formal proof-of-concept pipelines and high-fidelity simulation environments.
Required Expertise:
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PhD or equivalent in Mathematical Finance, Computational Physics, Applied Category Theory, or Formal Methods in Computer Science.
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Deep expertise in measure-theoretic probability, stochastic control theory, nonlinear PDEs, and high-dimensional Monte Carlo simulations.
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Proficiency in Python, Haskell, Rust, C++, Julia, including high-performance computing and blockchain SDKs.
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Extensive knowledge of UAE Central Bank fintech regulations, cross-border settlement systems, AML/CFT, and ISO 20022 protocols.
Preferred Attributes:
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Publications in algorithmic finance, stochastic network theory, or formal verification of financial protocols.
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Experience with multi-agent reinforcement learning for market simulation and automated liquidity optimization.
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Ability to translate highly abstract mathematical constructs into operational fintech systems.
Impact:
Shape the UAE’s most mathematically coherent, ontologically precise fintech ecosystem, redefining systemic risk management, capital allocation, and AI-driven liquidity orchestration across the GCC.
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