Digital Assets Trading Intern

About the role

Marex offers an internship combining practical exposure to institutional digital-asset trading, quantitative research, technology and commercial work. The role mixes market analysis with real trading and development projects, covering derivatives, market data, exchange connectivity, execution, pricing and position monitoring.

Key responsibilities

• Support the trading team in monitoring digital-asset markets across spot, perpetuals and options, including liquidity, volatility, funding, basis and market structure.
• Use Python and data analysis to research trading opportunities, analyse historical market data and evaluate strategies such as volatility, carry, relative value and derivatives.
• Develop and improve internal analytics, dashboards and trading tools for pricing, execution, position monitoring and market analysis.
• Assist with exchange liquidity, spreads, order books, execution quality and hedging to support market-making and liquidity-taking activities.
• Support the analysis, pricing and development of OTC and structured digital-asset solutions for institutional clients.
• Assist with market and client analysis, presentation materials and commercial initiatives with exchanges, liquidity venues, hedge funds, asset managers and other institutional counterparties.
• Gain exposure to trading infrastructure, exchange connectivity, market data, execution workflows and risk-management processes.
• Comply with regulatory requirements, the operational risk framework and the Code of Conduct, and report breaches and escalate risk events.

Required profile

• Studying a quantitative discipline such as mathematics, computer science, engineering, economics, finance or a related field.
• Strong interest in financial markets, trading and digital assets, and curiosity about derivatives, options, volatility and quantitative strategies.
• Able to work with large datasets and turn analysis into clear commercial or trading insights.
• Comfortable working across trading, technology and commercial teams.

Required skills

• Python, particularly pandas and NumPy, and data analysis.
• Excellent verbal and written communication and collaboration skills.