Job Overview
Remote Executive Director of Multi-Scale Stochastic Financial Systems – United Arab Emirates
Location: Remote – UAE (GCC)
Employment Type: Full-Time, Remote
Compensation: Exceptional Base + Performance-Based Incentives + Equity Options
Overview:
The UAE seeks a visionary Executive Director of Multi-Scale Stochastic Financial Systems to architect provably coherent, mathematically rigorous digital finance infrastructures bridging high-dimensional stochastic dynamics, homotopy-theoretic financial models, and AI-driven predictive governance. This individual will design nested multi-agent financial simulations, formalized risk ontologies, and cross-market arbitrage mechanisms that are simultaneously algorithmically optimal, computationally tractable, and regulatory compliant.
Key Responsibilities:
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Architect nested stochastic differential systems (Ito, Stratonovich, and Lévy processes) for real-time multi-asset pricing, derivative replication, and liquidity flow forecasting.
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Develop category-theoretic abstractions and functorial models linking tokenized instruments, decentralized exchange networks, and automated settlement protocols.
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Implement homotopy type theory for financial contract verification, ensuring provable invariants and compositional correctness across distributed ledgers.
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Construct ontologically coherent knowledge graphs that encode counterparties, regulatory rules, capital dependencies, and systemic risk metrics.
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Lead a transdisciplinary team of quantitative engineers, cryptoeconomists, and AI scientists, establishing rigorous proof-of-concept pipelines, simulation validation, and dynamic risk scoring systems.
Required Expertise:
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PhD or equivalent experience in Mathematical Finance, Computational Physics, Applied Category Theory, or Formal Methods in Computer Science.
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Deep mastery of measure-theoretic probability, high-dimensional stochastic simulation, and nonlinear PDEs for financial modeling.
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Proficiency in Python, Julia, Haskell, C++, and Rust, with expertise in quantitative libraries, blockchain SDKs, and distributed computation frameworks.
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Comprehensive understanding of UAE Central Bank fintech regulations, cross-border payment systems, AML/CFT, and ISO 20022 settlement protocols.
Preferred Attributes:
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Publications in algorithmic finance, applied homotopy theory, or stochastic network analysis.
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Experience with multi-agent reinforcement learning for market simulation and liquidity optimization.
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Ability to translate highly abstract mathematical constructs into operational, scalable fintech architectures.
Why This Role:
Lead the creation of the UAE’s most mathematically and ontologically coherent fintech ecosystem, redefining systemic risk management, digital asset governance, and AI-driven liquidity orchestration across the GCC.
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