Top Quantitative Researcher Jobs

As a Quantitative Researcher, you will develop trading strategies and improve predictive models using statistical and machine learning algorithms, while collaborating with trading teams.

The Senior Quantitative Researcher will lead projects to enhance trading performance by developing real-time trading models and solutions for options trading, collaborating with traders and researchers.

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 state-of-the-art machine learning models and statistical methods using massive structured and alternative datasets to discover predictive signals, design experiments, validate ideas through simulation, and collaborate to move research into production trading strategies.

Join Optiver as a Graduate Quantitative Researcher to analyze large-scale market and order-flow data, develop predictive and stochastic models, apply machine learning and deep learning techniques, and translate research into live trading solutions.

Conduct applied quantitative research on market and order-flow data: develop and validate predictive, statistical, and stochastic models using machine learning and deep learning, test hypotheses, and deploy ideas into live trading environments to identify trading opportunities and manage risk.

The Quant will optimize trading strategies, research and test potential alphas, and enhance the production trading system within a collaborative team.

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

Lead end-to-end research and production pipelines for systematic trading strategies. Conduct alpha research using statistical and ML techniques on high-frequency tick and order-book data, build Monte Carlo simulations and real-time risk monitoring, design position-sizing and stress-testing frameworks, mentor junior researchers, and collaborate with trading and infrastructure teams to deploy production-grade models and risk controls.

As a Quantitative Researcher, develop and refine automated options trading strategies, focusing on alpha generation and optimizing trading performance through research and novel techniques.

Lead expansion into new opportunities by building and deploying profitable high-frequency quantitative trading strategies. Manage a research team to develop pricing and execution models, oversee end-to-end deployment, and integrate large-scale ML/Ops and high-performance compute into trading systems.

Summer internship for graduate students to research and develop trading models from large datasets. Interns collaborate with senior quants and developers, complete one-to-two projects, receive training, and apply quantitative, mathematical, and programming skills (C/C++, Python, Pandas) to improve algorithmic trading strategies.

Develop and implement portfolio optimization frameworks, algorithms, and strategies while analyzing performance in live trading. Requires strong quantitative skills and programming expertise.

Analyze execution data across equities, futures, and other asset classes to build and maintain market impact and trade-cost models. Develop tools and studies to improve execution, collaborate with traders, researchers, brokers, and operations, and present findings to senior researchers to reduce transaction costs and enhance portfolio performance.

Quantitative Researchers at Xantium analyze financial datasets, develop quantitative trading models, and support trading operations. They collaborate with senior staff and enhance their research skills, primarily in mathematics and statistics.

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.

Join a collaborative team to develop AI-driven equity trading signals using machine learning techniques on proprietary datasets.

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 statistical analysis on market data to create predictive trading models and strategies, encompassing research and development cycles in equity trading.

Assist senior quantitative researchers with strategy design and market analysis using statistical methods on financial data.

The Junior Quantitative Researcher will assist in improving trading strategies, conduct quantitative research, and analyze financial data to identify alpha patterns.

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 build and analyze statistical models, manage research processes, and optimize quantitative code while solving complex problems in financial markets.

Develop and apply math, statistics, and machine learning techniques to identify patterns and predict signals in global derivatives markets. Collaborate with traders, engineers, and researchers to build fair value models and quantitative trading strategies.