Hiring: Quantitative Traders Company: Huxley Location: New York, NY Job Posted Time: 2026-09-15 14:43:30 Employment Type: Full-time / On-site Target Skills & Keywords : C++, Equities, MATLAB, Machine Learning, Python, R, Risk Management, SQL About the job Experience: •3+ years of experience trading Equities, FX, and/or Futures within a proprietary trading firm, hedge fund, investment bank, or asset management environment. Required Skills: •We are seeking an experienced Quantitative Trader with a proven track record trading Equities, Foreign Exchange (FX), and Futures markets. The successful candidate will be responsible for developing, implementing, and optimizing quantitative trading strategies, managing risk, and contributing to the firm's overall trading performance. •This role requires a strong combination of quantitative skills, market expertise, programming ability, and disciplined risk management. •Develop, test, and deploy quantitative trading strategies across Equities, FX, and Futures markets. •Conduct market research and statistical analysis to identify trading opportunities and inefficiencies. •Analyze large datasets and build predictive models to enhance trading performance. •Monitor real-time market activity and adjust trading strategies as market conditions evolve. •Partner cross-functionally with quantitative researchers, developers, and risk management teams to improve trading systems and execution quality. •Manage portfolio risk through rigorous position sizing, hedging, and exposure management. Qualifications: •Bachelor's, Master's, or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline. •In-depth knowledge of market microstructure, trading mechanics, and liquidity dynamics. •Strong statistical and analytical skills with a data-driven decision-making approach. •Proficiency in Python, C++, R, MATLAB, or similar quantitative programming languages. •Demonstrated track record of profitable trading performance and effective risk management. •Strong communication and collaboration skills. •Knowledge of machine learning and advanced predictive modeling techniques. •Operational familiarity with exchange connectivity, execution algorithms, and low-latency trading infrastructure. •Understanding of derivative pricing, volatility modeling, and portfolio optimization techniques. Compensation: •$150,000 - $300,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!