Portfolio Manager & Crypto Digital Assets

High Street Resources; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading digital asset hedge fund in the United Arab Emirates is seeking experienced Portfolio Managers to develop and optimize systematic trading strategies in the crypto markets. Candidates should have a strong trading background, proficiency in Python, and a deep understanding of risk management. This is an exciting opportunity to join a high-performing team with a focus on institutional capital management.

Qualifications

• 5+ years of verifiable trading track record.
• Strong quantitative and research background.
• Proficiency in Python and data analysis.
• Deep understanding of risk and portfolio construction.

Responsibilities

• Develop and run algorithmic trading strategies.
• Conduct independent quantitative research.
• Manage portfolio risk and performance.
• Collaborate with internal research, trading, and technology teams.
• Build and lead research teams where required.

Skills

Algorithmic trading strategies

Quantitative research

Python proficiency

Risk management

Job description

About the Opportunity We are hiring Portfolio Managers on behalf of a high-performing, multi-strategy digital asset hedge fund transitioning into managing external institutional capital.
The platform offers deep liquidity, institutional infrastructure, strong risk frameworks, and significant capital allocations to successful PMs.

Role Overview

Portfolio Managers will develop, optimize, and run systematic trading strategies within crypto markets.
The firm is open to both crypto-native PMs and traditional finance PMs transitioning into digital assets.

Key Responsibilities

• Develop and run algorithmic trading strategies.
• Conduct independent quantitative research.
• Manage portfolio risk and performance.
• Collaborate with internal research, trading, and technology teams.
• Build and lead research teams where required.

Key Qualifications

• 5+ years of verifiable trading track record.
• Strong quantitative and research background.
• Proficiency in Python and data analysis.
• Deep understanding of risk and portfolio construction.