Full Time

Quantitative Director – Digital Wealth & Algorithmic Portfolio Engineering

  • Remote
  • Specialism :
  • Post Date: April 23, 2026
  • Expires In : 18 Days
  • Apply Before: July 23, 2026
Job Overview

Remote Quantitative Director – Digital Wealth & Algorithmic Portfolio Engineering

πŸ“ Jurisdictional Base: United Arab Emirates

πŸ“Š Domain: Quant Finance, Robo-Advisory Systems, Algorithmic Asset Allocation


Role Abstract

This role targets a highly quantitative professional to lead the design and deployment of algorithmic wealth management systems, including robo-advisory platforms, automated portfolio construction engines, and AI-driven investment strategies tailored for both retail and institutional clients.

The position operates at the confluence of financial mathematics, machine learning, and digital asset management, with a focus on building scalable, compliant wealth platforms for the GCC region.


Functional Architecture

Quantitative Portfolio Engineering

  • Develop multi-asset portfolio strategies using:
    • Mean-variance optimization
    • Factor-based investing models
    • Risk parity and dynamic asset allocation frameworks
  • Integrate real-time market data feeds and macroeconomic indicators

Robo-Advisory System Design

  • Architect end-to-end robo-advisory workflows:
    • Client profiling and suitability assessment
    • Automated portfolio rebalancing
    • Tax optimization strategies
  • Build personalization engines using behavioral finance models

AI & Predictive Investment Modeling

  • Deploy machine learning models for:
    • Market trend prediction
    • Volatility forecasting
    • Asset correlation modeling
  • Utilize reinforcement learning for adaptive portfolio strategies

Regulatory & Compliance Integration

  • Ensure alignment with UAE financial advisory regulations and investor protection frameworks
  • Embed compliance checks within algorithmic decision layers
  • Develop audit trails for algorithmic transparency

Technical Requirements

  • Advanced degree in Quantitative Finance, Financial Engineering, or Applied Mathematics
  • Strong programming expertise in Python, R, MATLAB, and C++ (optional)
  • Experience with financial modeling libraries and backtesting frameworks
  • Deep understanding of capital markets, derivatives, and structured products

Differentiators of the Role

  • Direct ownership of next-generation wealth platforms in a rapidly growing GCC market
  • Opportunity to shape AI-driven investment paradigms
  • Exposure to both traditional and digital asset classes

Compensation Structure

  • High-value compensation aligned with global quant finance standards
  • Performance bonuses tied to portfolio performance benchmarks
  • Intellectual property incentives for proprietary models

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