Head of Algorithmic Cross-Border Payments Optimization

Job Overview

Remote Head of Algorithmic Cross-Border Payments Optimization — United Arab Emirates

Location: Remote (UAE Regulatory Alignment)

Region Focus: UAE / Pan-GCC Transactional Infrastructure

Employment Type: Remote, Senior Executive

Discipline: Mathematical Optimization, Payments Engineering, Algorithmic Economics

Role Overview

This role redefines payments optimization at a scale where mathematics converges with distributed infrastructure. As the Remote Head of Algorithmic Cross-Border Payments Optimization, you will develop advanced computational frameworks that minimize payment latency, energy consumption, and settlement inefficiencies across GCC–global corridors.

Your mission: to design a mathematically coherent, high-dimensional optimization layer that dynamically governs how digital transactions flow through regional and international clearing architectures. Through the use of variational calculus, Lagrangian duality, and multi-objective convex programming, your work will transform how transactional liquidity equilibria are achieved in distributed settlement topologies.

Core Responsibilities

• Optimization Model Design:
  
  Create multi-objective optimization formulations minimizing transaction time $T(x)$ and volatility-adjusted cost $C(x)$, subject to constraints on energy, bandwidth, and regulatory compliance.

• Algorithmic Architecture:
  
  Construct distributed consensus algorithms integrating gradient descent reinforcement learning for dynamic transaction routing under changing exchange-rate tensors.

• Mathematical Abstraction of Settlement:
  
  Develop Hamiltonian models to describe transaction flow dynamics as a function of system potential energy — mapping cross-border frictions to quantifiable energy states in the transactional manifold.

• Interoperability Engineering:
  
  Architect secure payment layer protocols leveraging algebraic graph theory and category-theoretic data structures to enable composable payment channels across disparate blockchains.

• Quantitative Validation:
  
  Use statistical convergence proofs, numerical stability analysis, and large-scale simulation to ensure model soundness under stochastic macroeconomic volatility.

Candidate Profile

• Doctorate or equivalent in Operations Research, Applied Mathematics, or Distributed Systems Economics.

• At least 12 years of fintech infrastructure or algorithmic payment system experience.

• Advanced command of optimization theory, probabilistic modeling, and asynchronous algorithm design.

• Fluency in C++, Rust, or Haskell for computational efficiency and formal verification.

• Demonstrable understanding of GCC payment infrastructure modernization frameworks.

Strategic Impact

This role will position you as a mathematical economist-engineer — converting distributed transaction mechanics into analyzable optimization problems, and shaping the UAE’s role as the algorithmic nexus of cross-border digital value transfer.

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