Top Quantitative Researcher Jobs in NYC, NY

The role involves developing and testing quant trading strategies through mathematical modeling, statistical analysis, and implementing these into trading systems.

The internship involves developing automated trading strategies, performing statistical analyses, and implementing trading models in a live environment.

Quantitative Researchers at HRT develop mid-frequency trading strategies using statistical methods and large datasets, focusing on coding and strategy components.

As a Quantitative Researcher Intern, you will develop trading models, conduct statistical analysis, and collaborate in a fast-paced research environment.

Quantitative Researchers develop and refine trading models, conduct statistical analysis, and innovate using complex data sources in financial markets.

The candidate designs, develops, and manages systematic market-making algorithms for electronic trading, conducting quantitative research and back-testing strategies to optimize performance and manage trading risks.

As a Quantitative Researcher, you will utilize AI/ML methods and vast datasets to build advanced models for investment strategies and collaborate with investment teams for insights and hypothesis validation.

Conduct research, statistical analyses, and develop trading strategies using sophisticated statistical techniques and large data sets.

As a Quantitative Researcher, you will develop quantitative strategies, analyze market data, and apply machine learning and statistical techniques to capitalize on trading opportunities.

The Quantitative Researcher will conduct research, develop models, and generate insights using private market data, collaborating across teams and assisting with index management and analytics.

As a Quantitative Researcher, you will analyze data, develop alpha signals, collaborate on performance analysis, and create pricing models while assessing risk.

Conduct research to design systematic investment strategies using applied mathematics and statistics for robust trading algorithms.

Interns improve quantitative skills, engage in statistical analysis, work with trading teams on predictive models, and receive mentorship.

As a Quantitative Researcher, you'll create and improve trading models while collaborating with senior researchers and conducting your own research.

Lead portfolio management of power trading strategies, develop information systems for market-specific allocation, and collaborate with risk managers and financial teams.

Develop and implement algorithmic trading strategies using statistical models and machine learning, analyzing large data sets to predict market movements.

Lead quantitative research, driving revenue and trading capabilities through collaboration with trading and technology, and applying rigorous scientific methods to solve business problems.

The Quantitative Research Intern will assist in research on complex datasets, develop predictive models, and communicate findings effectively to support investment strategies.

The Quantitative Researcher will analyze market data to build models and drive innovation in trading strategies, collaborating with traders and engineers.

Develop sophisticated trading models using machine learning and data analysis. Manage the research process from data ingestion to model evaluation. Collaborate and contribute to all stages of financial model development leveraging deep learning.

Interns will work on hands-on projects with the research team, focusing on complex mathematical problems and quantitative skills.

The internship focuses on high-frequency statistical arbitrage and prediction market trading, providing hands-on experience in generating trading signals and analyzing market data.

Support research and development of equity systematic strategies by researching short-term alpha signals and maintaining data pipelines.

The Quantitative Researcher will collaborate on empirical research, develop investment solutions, maintain analytical tools, and contribute to investment management.

The Quantitative Researcher role involves applying econometric models and data science techniques to analyze trends in commercial real estate, while developing scalable data workflows and collaborating with engineering and data teams.