Top Quantitative Researcher Jobs in NYC, NY

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

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

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

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.

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.

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 Researcher at Jane Street, you will build models, analyze datasets, create strategies for trading, and write implementation code, primarily in OCaml.

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.

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.

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.

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.