Quant Trader

country: GB all locations: [London, United Kingdom] commitment: Full-time department: Trading location: London, United Kingdom team: Quant Front Office Responsibilities: : Autonomous Valuation: Engineer the logic synthesizing global data into fair-value anchors and dynamic spreads. Inventory Skewing: Build self-correcting models that adjust quotes based on exposure to incentivize book-balancing. Defensive Design: Implement high-velocity protocols to mitigate adverse selection and information asymmetry in milliseconds. Risk Automation: Define the logic for warehousing risk internally versus hedging externally. Technical Translation: Convert mathematical strategies into scalable requirements for engineering teams. Risk Guardrails: Partner with the desk to define the engine’s operational boundaries and automated thresholds. Real-Time Leadership: Act as the technical anchor during high-leverage events, providing calibration and intervention when the system is under peak pressure. Requirements:: Quantitative Fluency: Deep understanding of probability and binary contracts; treating every event as a shifting probability curve. Pipeline Design: Experience building production-ready trading systems, from data ingestion to automated execution. Applied Data Science: Successful track record of deploying predictive models that learn from microstructure and price velocity. Systems Integrity: Expertise in building error-tolerant interfaces that remain stable under extreme throughput.