Job Overview

Executive Director of AI-Driven WealthTech & Digital Asset Analytics – Qatar

Location: Remote (Must operate in alignment with Qatar financial rules and international asset-management standards)

Engagement Model: Full-time, senior executive leadership in digital wealth innovation

Sector Focus: WealthTech, AI-based investment engines, digital asset intelligence, portfolio orchestration

Role Overview

This senior mandate focuses on shaping Qatar’s next generation of digital wealth infrastructure, emphasizing AI-enabled advisory engines, cross-asset intelligence systems, digital asset analytics, and globally harmonized orchestration standards. The Executive Director will build frameworks that integrate institutional-grade wealth management methodologies with emerging digital asset technologies.

Strategic Responsibilities

AI-Powered WealthTech Platform Design

• Architect next-generation robo-advisory models using reinforcement learning, risk-aware ML, and automated rebalancing algorithms.

• Develop cross-asset analytics engines integrating equities, fixed income, alternatives, and digital asset classes within unified risk-adjusted allocation models.

• Formulate long-horizon product strategies for structured digital investment vehicles and intelligent multi-portfolio optimization.

Digital Asset Intelligence & Governance

• Establish compliance-aligned frameworks for digital asset valuation, market surveillance, custody risk modeling, and liquidity analytics.

• Define integrated asset scoring systems using multidimensional data streams—on-chain activity, macro indicators, market microstructure, and sentiment analysis.

Institutional-Standard Infrastructure Development

• Develop full lifecycle models for customer onboarding, wealth profiling, digital identity validation, and portfolio health monitoring.

• Structure enterprise-grade governance, cybersecurity, and fiduciary oversight structures consistent with international wealth regulation and Qatar’s financial supervisory standards.

Candidate Requirements

• 10–15 years in wealth management technology, digital asset intelligence, or quantitative investment systems.

• Expertise in AI/ML for portfolio optimization, risk modeling, and autonomous wealth decisioning.

• Fluency in both traditional and digital asset market mechanics, valuation frameworks, and compliance structures.

• Track record leading multi-regional digital wealth programs or institutional-level innovation initiatives.

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