About the company
Founded in Belgium in 2017, Keyrock are cryptocurrency market makers building scalable, self-adaptive algorithmic technologies to support efficient digital asset markets. Through a combination of in-house algorithmic trading tools, high-frequency trading infrastructure and industry expertise, Keyrock provides unparalleled liquidity services to tokens, exchanges and brokerages within the cryptocurrency ecosystem. Keyrock operates with the vision of democratizing cryptocurrency liquidity through a strict dedication to transparency, operational integrity and regulatory compliance.
Job Summary
Key Responsibilities
šScalable Quant Infrastructure: Assist in the development of modular Python-based libraries (utilizing Pandas, NumPy, and Polars) to standardize performance metrics and unify global trading data. šStrategy Forensics: Perform deep-dive statistical analysis on trade-level data to decompose PnL drivers, isolate alpha decay, and identify execution drag or "toxic flow." šPerp DEX Optimization: Analyze the incentive structures and market-making programs of leading protocols (e.g., Hyperliquid/HIP-3, Paradex, Lighter). You will help optimize our participation to maximize protocol rewards and capital efficiency. šOperational Intelligence: Build and maintain automated workflows that convert raw L1/L2 order book data into actionable insights for the Trading and Investment Committees. šMarket Monitoring: Proactively track market microstructure signals and portfolio exposures to highlight emerging risks and identify underutilized liquidity opportunities.
Who You Are
šRecent or upcoming graduate from a top university in financial engineering, mathematics, physics, computer science, or a related quantitative field. šTechnical Proficiency: You have a solid foundation in Python (specifically for data science) and SQL. Exposure to Rust or a strong desire to learn it is highly valued. šMathematical Rigor: Strong academic background in a quantitative field (Math, Physics, CS, or Financial Engineering). You are comfortable with probability, statistics, and linear algebra applied to real-world trading. š"Skin in the Game": You aren't just a theorist. You have a track record of running automated or semi-automated strategiesābe it funding arbitrage, cash & carry, or delta-neutral market-making.
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