Selby Jennings
Quant Trader - HFT Futures
We're partnering with a leading market-making and high-frequency trading (HFT) firm to hire a Quant Trader with 5+ years of experience in building and deploying high-frequency trading strategies across global futures markets. This role is ideal for someone who thrives in low-latency environments and wants to work at the intersection of alpha research, execution, and performance optimization.
Responsibilities: Design, test, and implement high-frequency trading strategies across major futures exchanges Conduct alpha research leveraging order book dynamics, market microstructure, and statistical modeling Collaborate with engineers to optimize infrastructure for ultra-low latency execution Analyze live trading data and iterate on models to improve PnL, Sharpe ratio, and risk-adjusted returns Work closely with the broader quant and trading team to identify new market opportunities and inefficiencies Own the end-to-end strategy development and deployment lifecycle
Qualifications: 5+ years of experience in HFT, proprietary trading, or systematic futures trading Proven track record of live strategy deployment and alpha generation in futures markets Strong proficiency in C++ with exposure to performance optimization in latency-sensitive environments Deep understanding of market microstructure, especially in futures (e.g., CME, Eurex, ICE) Familiarity with exchange APIs and FIX protocols Strong statistical and data analysis skills; Python or similar for research is a plus Self-driven and comfortable working in a fast-paced, iterative environment
Responsibilities: Design, test, and implement high-frequency trading strategies across major futures exchanges Conduct alpha research leveraging order book dynamics, market microstructure, and statistical modeling Collaborate with engineers to optimize infrastructure for ultra-low latency execution Analyze live trading data and iterate on models to improve PnL, Sharpe ratio, and risk-adjusted returns Work closely with the broader quant and trading team to identify new market opportunities and inefficiencies Own the end-to-end strategy development and deployment lifecycle
Qualifications: 5+ years of experience in HFT, proprietary trading, or systematic futures trading Proven track record of live strategy deployment and alpha generation in futures markets Strong proficiency in C++ with exposure to performance optimization in latency-sensitive environments Deep understanding of market microstructure, especially in futures (e.g., CME, Eurex, ICE) Familiarity with exchange APIs and FIX protocols Strong statistical and data analysis skills; Python or similar for research is a plus Self-driven and comfortable working in a fast-paced, iterative environment