Job Overview

Senior Quantitative Engineer – Algorithmic Digital Assets & Liquidity Systems

Location: United Arab Emirates (Remote)

Employment Type: Full-Time | Research & Engineering

Domain: Digital Assets, Algorithmic Trading, Liquidity Optimization

Position Thesis – Quantitative Innovation

This role is designed for a quantitative engineer specializing in liquidity intelligence systems for digital assets and high-frequency transaction networks. The position blends financial mathematics, computational engineering, and real-time systems design, focusing on optimizing execution strategies across fragmented liquidity pools while maintaining regulatory compliance and operational risk mitigation.

Core Responsibilities

1. Liquidity Systems Engineering

   • Develop intelligent routing and liquidity aggregation algorithms for fragmented exchanges.

   • Implement cross-currency FX optimization engines for real-time conversions.

   • Build risk-aware trading systems integrating portfolio and market volatility metrics.

2. Algorithmic Modeling

   • Design quantitative models for order book analysis, arbitrage, and market making.

   • Implement reinforcement learning systems for adaptive trade execution.

   • Create simulation frameworks to stress-test liquidity and risk scenarios.

3. Infrastructure & Technology

   • Design low-latency, high-throughput systems in C++, Rust, or Python.

   • Integrate distributed databases, real-time analytics engines, and high-frequency data pipelines.

   • Implement secure and scalable infrastructure compliant with digital asset regulations.

4. Compliance & Reporting

   • Align trading and liquidity systems with UAE financial regulatory standards.

   • Incorporate transaction monitoring and fraud detection mechanisms.

   • Ensure auditability and transparency of algorithmic decisioning.

Candidate Profile

• Advanced degree in quantitative finance, computer science, physics, or applied mathematics.

• 7–12 years in algorithmic trading, quantitative engineering, or digital asset systems.

• Proficiency with market microstructure, order book dynamics, and digital asset exchanges.

• Experience in high-frequency or programmatic trading infrastructure.

Compensation Structure

• Competitive compensation aligned with UAE fintech quantitative roles.

• Performance-based incentives linked to trading efficiency, liquidity optimization, and PnL contribution.

• Access to state-of-the-art research and execution infrastructure.

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