Top Quantitative Researcher Jobs in NYC, NY

Conduct quantitative research focusing on predictive models, data analysis, alpha discovery, and trading strategy generation as part of a collaborative research team.

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

Develop systematic trading models, conduct alpha idea generation, backtesting, and enhance trading environments while utilizing advanced quantitative methods.

The Quantitative Researcher (NLP) will use NLP for data feature construction, formulate research hypotheses for alpha generation, build and test trading signals, and launch signals into production.

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

The role focuses on quantitative portfolio optimization and risk control, involving analysis of transaction costs and monitoring portfolio performance.

As a Quantitative Researcher, you will enhance trading strategies through alpha research, model development, collaboration, and workflow optimization in a high-frequency trading environment.

The role involves conducting quantitative research in corporate bonds and credit derivatives, implementing models, and improving investment processes.

The intern will research trading algorithms, enhance existing strategies, analyze market data, create analytical tools, and contribute to supportive libraries.

As a Quantitative Researcher intern, you'll analyze data, develop trading strategies, collaborate with experts, and learn market fundamentals.

Quantitative Researchers will build models and strategies to price and trade financial instruments, collaborating closely with engineers and traders.

As a Quantitative Research Intern, you will develop predictive models, apply statistical methods, and analyze financial data. You'll gain experience in a collaborative environment without needing financial knowledge.

Quantitative Researchers develop predictive models, apply statistical methodologies to financial data, and design frameworks for risk and returns analysis.

Conduct independent quantitative finance research focusing on statistical models, manage data collection, analysis, and performance monitoring.

Conduct research to find systematic anomalies in equity markets, develop strategies, evaluate datasets, and manage portfolio trading.

As a Quantitative Researcher Intern, you will conduct research, develop quantitative trading signals, analyze large datasets, and enhance research infrastructure, while collaborating closely with the team.

The Macro Quantitative Researcher will develop systematic signals for macro markets, manage research pipelines, and improve trading models using various techniques.

Develop in-house trading strategies, conduct quantitative research, maintain predictive models, and collaborate with teams to enhance trading solutions.

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

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

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

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.

Collaborate with a team to develop and implement quantitative trading signals and models, utilizing statistical methodologies for research systems.

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

The Quantitative Researcher will develop quantitative trading strategies and improve existing infrastructure for cross-chain trading, focusing on performance and capital efficiency in crypto markets.