Related skills
rust sql python pandas numpy📋 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.
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