Quant Researcher (HFT) | New York

Part of Phaidon International United States HM Our Expertise Industry Insights Find Jobs About Us Contact Us Home Jobs Quant Researcher (HFT) | New York - PR/532563_1739292102 Quant Researcher (HFT) | New York Quick Apply New York Permanent + Bonus Quantitative Analytics Research and Trading PR/532563_1739292102 Quant Researcher (HFT) | New York Apply now I am working with a prop firm who off the back of their best year since inception across APAC markets has decided to invest in building out in NYC to focus on US markets. The firm has historically been focused on trading HFT/MFT Futures and Options across a wide variety of APAC exchanges and plans to do the same in the US markets. They are looking to speak with mid-level QR's to sit in NYC and aid in the build. The ideal candidate should have a strong foundation in alpha and feature research, statistical modeling, and the full lifecycle of model development and deployment. This role involves conducting research, designing and implementing models, and performing post-trade analysis to enhance and maximize the efficiency of their trading systems. Responsibilities Include: Statistical & Predictive Modeling: Develop and enhance statistical models to forecast market behavior, covering all aspects from data preprocessing and feature selection to model optimization, validation (e.g., cross-validation, regularization), and advanced ensemble techniques. Alpha & Feature Discovery: Design, evaluate, and refine alpha signals and predictive features by leveraging market and alternative data. Conduct exploratory research to uncover new patterns and actionable trading insights. Strategy Optimization & Monetization: Continuously refine trading strategies through parameter tuning, market inefficiency detection, and systematic enhancements to maximize profit potential in live markets. Live Deployment & Optimization: Collaborate with engineers to integrate models into a real-time trading infrastructure, ensuring seamless execution, low-latency performance, and system scalability in a dynamic environment.

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