Own and develop trading strategies at boutique quantitative trading firms or systematic hedge funds. Apply experience across one or more asset classes, with faster execution and greater ownership than in large instituti…
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109 current jobs in New York.
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Search all jobsResearch and develop options trading strategies and pricing models, working on volatility, pricing, and risk across listed options. Move research ideas into live trading in close collaboration with traders and engineers…
Build and improve low-latency trading systems in C++, and research and develop high-frequency strategies for futures and equities. Take strategies from research through live trading in collaboration with the desk's trad…
Drive applied research for systematic option strategies by translating market intuition into scalable risk management and market-making solutions. Partner with traders to develop forecasting models, design hedging strat…
Develop and improve quantitative equity investment strategies across the research lifecycle, from idea generation and data sourcing through predictive modeling, portfolio construction, and trade execution. Research impl…
Automate and optimize electronic trading algorithms for equities, futures, and other instruments, covering signal generation, order placement, execution, and risk management. Analyze market and trade data, monitor algor…
Develop systematic, market-neutral equity strategies using statistical and quantitative techniques, taking alpha research from initial idea through backtesting and live implementation. Work with Portfolio Managers on po…
Develop and enhance quantitative and factor-based investment strategies, including research into alpha generation and portfolio construction. Analyze portfolio data and conduct rigorous statistical research to improve s…
The researcher will develop systematic trading strategies for prediction markets by applying statistical and machine learning methods to large datasets. They will collaborate with traders and engineers to move research…
Translate investment-team needs into prioritized platform plans in partnership with engineering, AI engineering, and investment teams. Support platform adoption, evaluate the quality of search and recommendations, ident…
Research, develop, and backtest systematic trading strategies across multiple asset classes, using statistical modeling, machine learning, and large datasets to identify predictive signals and market inefficiencies. Col…
Develop and enhance quantitative and factor-based investment strategies for global institutional and retail clients. Conduct rigorous statistical research and portfolio construction analysis to provide actionable insigh…
Lead credit execution research on liquidity, market impact, counterparty selection, portfolio trading, execution protocols, and transaction cost analysis, developing quantitative models to improve trading outcomes. Part…
The role involves designing, implementing, and deploying trading algorithms while researching high to mid-frequency alphas. Responsibilities also include analyzing market data and microstructure to develop data platform…
Conduct quantitative research to identify and evaluate systematic trading opportunities, develop predictive alpha signals, and validate strategies using rigorous backtesting. Collaborate with portfolio managers and engi…
Analyze large datasets using statistical and machine learning methods to identify and combine alpha signals for global equity markets, primarily U.S. equities. Develop mid-frequency statistical arbitrage signals and str…
The successful candidate will conduct quantitative research to improve pricing and hedging capabilities for systematic market making in FX products. They will also be responsible for building, testing, and deploying tra…
Develop and research mid-frequency systematic trading strategies using statistical methods and large datasets, contributing to alpha generation, portfolio construction and optimization, and trade execution algorithms. P…
The Strat Researcher will develop quantitative methods for asset allocation and tail risk management processes. They will collaborate with portfolio managers and technologists to evaluate portfolio trade-offs and suppor…
Analyze large datasets to develop original trading strategies and identify market signals. Apply deep learning, large language models, and other AI techniques to build autonomous trading systems in collaboration with AI…