Crypto.com
195 open roles on Maneki
Quant Trader
Mid / Senioron site
LOCATION
London, UK
POSTED
Today
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Required skills
Quantitative AnalysisProbability TheoriesData IngestionPredictive ModelingMicrostructureSystems Engineering
Job description
About the role:
You will help design the engine powering OG.com’s liquidity. You’ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation.
You will help design the engine powering OG.com’s liquidity. You’ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation.
Focus: Architecting a multi-market autonomous pricing engine.
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.