Quantitative Traders Job at Huxley Associates, New York, NY

  • Huxley Associates
  • New York, NY

Job Description

Position OverviewWe 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.Key ResponsibilitiesDevelop, 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.Collaborate 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.Evaluate strategy performance and continuously optimize models based on market dynamics.Maintain a deep understanding of global macroeconomic events, market structure, and regulatory developments.Utilize algorithmic trading platforms and execution technologies to improve trade efficiency.Contribute to the firm's research culture by sharing insights and best practices.Required QualificationsBachelor's, Master's, or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline.3+ years of experience trading Equities, FX, and/or Futures within a proprietary trading firm, hedge fund, investment bank, or asset management environment.Strong understanding of market microstructure, trading mechanics, and liquidity dynamics.Experience developing systematic and quantitative trading strategies.Strong statistical and analytical skills with a data-driven decision-making approach.Proficiency in Python, C++, R, MATLAB, or similar quantitative programming languages.Experience working with market data, backtesting frameworks, and quantitative research tools.Demonstrated track record of profitable trading performance and effective risk management.Strong communication and collaboration skills.Preferred QualificationsExperience with high-frequency, intraday, statistical arbitrage, market-making, or momentum-based trading strategies.Knowledge of machine learning and advanced predictive modeling techniques.Familiarity with exchange connectivity, execution algorithms, and low-latency trading infrastructure.Experience using SQL, cloud computing platforms, and distributed data processing frameworks.Understanding of derivative pricing, volatility modeling, and portfolio optimization techniques.Key Skills & CompetenciesQuantitative ResearchStatistical AnalysisAlgorithmic TradingRisk ManagementPortfolio ConstructionMarket MicrostructurePython/C++ ProgrammingData Analysis & ModelingStrategic ThinkingDecision Making Under PressureContinuous Improvement MindsetLocation: On-Site, 1 WTCEmployment Type: Full-TimeExperience Level: Mid-Level to SeniorThis position is ideal for a highly motivated quantitative trader with experience across Equities, FX, and Futures markets who thrives in a fast-paced, performance-driven proprietary trading environment.EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.To find out more about Huxley, please visit

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