Top Quantitative Researcher Jobs in NYC, NY

As a PhD intern, you will develop and test trading strategies, perform statistical analysis, and collaborate with senior researchers.

Conduct research and develop automated trading strategies using advanced statistical techniques and programming skills. Collaborate in a fast-paced team to innovate and implement quantitative models.

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

Quantitative Researchers at GQS leverage advanced statistical techniques and machine learning for investment strategies, portfolio optimization, and innovative research.

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

As a Quantitative Researcher Intern, you'll develop models and strategies, conduct statistical analysis, and implement algorithms in a trading context.

Develop and improve mathematical models and trading approaches. Conduct statistical analysis and back test trading strategies in a fast-paced environment.

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

Perform quantitative research and data analysis using private markets data to build models, indices, and analytics products. Maintain and enhance databases and internal models, support index rebalancing, respond to ad-hoc data requests, and collaborate with product, sales, and marketing to create data-driven content and insights for clients and stakeholders.

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.

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.

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 internship focuses on developing high-frequency trading strategies and predictive models in quantitative finance, ideal for students or recent graduates in quantitative disciplines.

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.

The role involves designing systematic investment strategies using applied mathematics and statistics to create and improve trading algorithms.

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

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

Nine-week summer internship working with the research team on development projects. PhD-level quantitative problem solving, mentorship, classroom instruction, strategy games, and hands-on projects. Requires strong math, basic programming experience, teamwork, independence, and attention to detail.

Develop and optimize machine learning and statistical models to predict liquid asset movements. Parse and analyze large datasets, implement academic research for alpha generation, and collaborate with Data, Alpha, and Strategy teams to design market-neutral trading strategies and run simulations to validate hypotheses.

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

Develop and deploy advanced machine learning models across asset classes, focusing on deep learning, sequence/time-series modeling, NLP/LLMs, pre-training, fine-tuning, and reinforcement learning. Design and optimize models for performance, scalability, and robustness to model price formation, market behavior, and risk while collaborating with researchers, engineers, and traders.

As a Quantitative Researcher, you will develop and implement quantitative trading signals and models, using statistical methodologies to evaluate research systems components.

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