This team engineers/improves the systematic strategies the Quantitative Researchers put in place. You are not making speculative/discretionary decisions, but rather improving the underlying processes (risk pricing, execution quality, alpha position entry/management), which in turn improves P&L. This role is high-volume, small-risk trading. Key strengths needed are stats and market microstructure and the ability to analyze massive data sets, draw conclusions, and tweak parameters/positions accordingly. Operational excellence is central: improving tooling/controls, debugging connectivity issues with routers, etc. Develop comprehensive expertise in the automated liquidity-provision business, collaborating closely with latency-focused engineers, signal researchers, reliability engineers, quoting researchers, and platform developers. Discover novel approaches to instrumenting and quantifying current automated trading behaviors to improve engagement and returns. Continuously explore better methods of tracking both internal activity and that of rival firms. Steer the development of the trading platform and the individual strategies that comprise it. Respond to large market movements and shifts in market conditions as they happen by tuning a blend of quoting, risk appetite, and strategy settings. Detect areas where the firm is under-engaged relative to available opportunity and design an approach to address it. Maintain a high standard of execution across every dimension of the role. Take ownership of defining and calibrating risk-control safeguards, with decision-making authority over trading operations.
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Job Type
Full-time
Career Level
Mid Level