crypto - Quant Trader
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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.
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.
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