Quantitative Analyst Intern

📋 Description

• Develop modular Python libraries (Pandas/NumPy/Polars) for trading data and metrics.
• Analyze trade-level data to decompose PnL drivers and alpha decay.
• Analyze DeFi market-making incentives to maximize rewards and efficiency.
• Build automated workflows converting L1/L2 data into insights for committees.
• Monitor market microstructure signals and exposures for risks and opportunities.

🎯 Requirements

• Recent or upcoming grad in financial engineering, mathematics, physics, CS, or related quantitative field.
• Strong Python (data science) and SQL; Rust exposure valued.
• Probability, statistics, and linear algebra applied to trading.
• Skin in the game: automated or semi-automated trading strategies.
• DeFi native with Perpetual DEX dynamics and on-chain mechanics.
• English fluency; fast-paced, owner mindset.

🎁 Benefits

• Hybrid work from London or Brussels offices.
• Company and team wide offsites.
• Global, collaborative and tech-driven environment.
• Autonomy and impact; flat structure; contribute from day one.
• Culture of excellence: nimbleness, ownership and collaboration.