Top Quantitative Researcher Jobs in NYC, NY

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.

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.

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

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

The Quantitative Researcher formulates and implements mathematical models and algorithms to enhance trading strategies, utilizing statistical techniques and programming skills.

Formulate and implement mathematical models for trading strategies, enhance algorithmic trading, and manage risk related to automated trading systems.

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 develop trading signals and models, implement research components, and evaluate them using statistical methods in a collaborative environment.

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.

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.

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

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.

Conduct research to develop and optimize trading strategies, collaborating with peers and improving research workflows in a high-frequency trading environment.

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

The role involves developing automated investment strategies, analyzing data, building models, and collaborating with teams for product enhancement.

The role involves identifying market opportunities, constructing models, developing analyses, implementing, and testing models in trading systems, while collaborating with traders and developers.

As a Senior Quantitative Researcher, you will analyze large data sets, build statistical models, implement trading strategies, and develop quantitative research tools.

The Quantitative Researcher for Monetization will develop strategies for market opportunities, optimize performance using data, and apply machine learning in financial energy systems.

Interns will collaborate with the research team on projects, learning key trading concepts and engaging in hands-on activities.

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