
Quantitative Researcher – Systematic US Equities
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in New York.
• Conduct research and develop systematic trading strategies focusing on intraday and medium-frequency opportunities within US equities.
• Identify and assess alpha signals by utilizing market data, statistical models, and insights into market microstructure.
• Manage the entire research-to-production lifecycle, including idea generation, backtesting, validation, deployment, and continuous optimization.
• Enhance and refine portfolio construction, risk management, and execution methodologies.
• Monitor live strategy performance and pinpoint areas for enhancement.
• Directly contribute to trading P&L.
• Work collaboratively with trading and engineering teams on infrastructure, analytics, and the implementation of strategies.
• Over 5 years of experience in systematic US equities trading or quantitative research.
• Practical experience in developing alpha signals and contributing to systematic trading strategies.
• Comprehensive understanding of US equity market microstructure, portfolio construction, and risk management practices.
• Experience with intraday and/or medium-frequency strategies, including active portfolio rebalancing.
• Strong quantitative and analytical capabilities.
• Proficiency in Python programming.
• Ability to comprehend trading strategies from start to finish and translate research concepts into actionable trading decisions.
• Driven to take ownership of trading strategies and their performance metrics.
• Preferred experience with statistical arbitrage and mean-reversion strategies.
• Preferred experience with factor models and short-term alpha prediction techniques.
• Preferred experience with ETF arbitrage.
• Preferred experience with event-driven trading.
• Preferred experience in market making and execution alpha.
• Preferred experience with mergers and acquisitions (M&A) and earnings releases.
• Preferred experience in transitioning strategies from research to live trading.
• Fully remote organization.
• Open communication and transparent operational processes.
• Opportunity to influence technical decisions and shape trading ideas.
• Complete ownership of trading strategies and their performance outcomes.
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