Top Quantitative Researcher Jobs

The role involves developing systematic trading strategies for futures, conducting data analysis, collaborating with teams, and refining trading strategies.

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

As a Quantitative Researcher Intern, you will develop trading models, conduct statistical analysis, and collaborate in a fast-paced research environment.

As a Quantitative Researcher Intern, you'll develop models, back test trading strategies, and conduct statistical analyses to drive investment innovations.

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

Quantitative Researchers develop and refine trading models, conduct statistical analysis, and innovate using complex data sources in financial markets.

As an Execution Quantitative Researcher at PEAK6, you will analyze algorithm performance and collaborate with engineers to optimize electronic execution algorithms for trading.

Quantitative Researchers at HRT develop mid-frequency trading strategies using statistical methods and large datasets, focusing on coding and strategy components.

Conduct research and statistical analyses, develop quantitative trading strategies, and back test models in a live trading environment.

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

As a Quantitative Researcher, you will utilize AI/ML methods and vast datasets to build advanced models for investment strategies and collaborate with investment teams for insights and hypothesis validation.

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

As a Quantitative Researcher at Citadel, you will use advanced statistical and machine learning techniques for investment modeling and portfolio optimization.

Quantitative Researchers at Citadel leverage statistical modeling and coding skills to analyze financial data and develop optimization algorithms. They drive portfolio construction and focus on solving real-world financial problems.

Global Quantitative Researchers at Citadel leverage advanced statistical and quantitative techniques to drive investment strategies and optimize portfolios.

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.

The role involves developing and testing quant trading strategies through mathematical modeling, statistical analysis, and implementing these into trading systems.

The internship involves developing automated trading strategies, performing statistical analyses, and implementing trading models in a live environment.

The candidate designs, develops, and manages systematic market-making algorithms for electronic trading, conducting quantitative research and back-testing strategies to optimize performance and manage trading risks.

The Quantitative Researcher will develop innovative quantitative strategies using statistical methods and machine learning algorithms to analyze market data and identify trading opportunities.

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

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

The Quantitative Researcher will analyze pricing models, evaluate trades, and collaborate on model improvements in the equities trading group.

The Senior Quantitative UX Researcher will analyze data, design research methods, collaborate with teams, and communicate insights to enhance the product experience in the Daily Fantasy Sports industry.