Top Quantitative Researcher Jobs in NYC, NY

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.

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

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

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

The Quantitative Researcher will design, research, and deploy systematic trading strategies in global equity markets, conducting performance evaluation and managing risk.

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

The role focuses on building tools for volatility research, designing trading strategies, analyzing data, and collaborating with a team to enhance trading strategies in volatility markets.

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.

As a Quantitative Researcher, you'll develop trading signals and models, implement research components, and evaluate them using statistical methods in a collaborative environment.

This internship involves high-frequency trading research, analyzing market data, and developing statistical arbitrage strategies in finance.

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.

As a Quantitative Researcher, you'll design and optimize ML models, analyze data sets, implement academic research, and collaborate on quantitative experiments.

The Quantitative Researcher will develop and optimize trading strategies, analyze data for alpha signals, and collaborate on financial models.

As a Quantitative Researcher, you'll develop trading algorithms, analyze financial data, create predictive models, and collaborate within a research team.

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

The role involves conducting research to develop systematic macro strategies and signals focusing on market microstructure for trading. Responsibilities include feature engineering, modeling, backtesting, and improving trading environments.

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