Top Quantitative Researcher Jobs in Chicago, IL

The role involves leading the development and management of systematic equity strategies, collaborating on ideas generation, portfolio construction, and compliance, while communicating performance to internal and external stakeholders.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

Conduct quantitative research to design, implement, and deploy mathematical trading models. Build custom tools for exploratory analysis, apply rigorous quantitative techniques to solve complex problems, and collaborate with traders and developers to productionize models while maintaining best practices.

Conduct quantitative research to improve and design trading models, build tooling, implement and deploy models to production, and collaborate with traders and developers to solve complex problems.

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

The intern will collaborate with a team to develop and implement quantitative trading signals and models, focusing on statistical methodologies in quantitative finance.

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

The Junior Quantitative Researcher will develop and enhance pricing models for volatility-based derivatives, analyze market data, and collaborate with traders in a fast-paced environment.

The Senior Quantitative Researcher will lead alpha research, develop predictive signals and models, analyze performance, collaborate with traders and engineers, and mentor junior researchers.

Quantitative Researchers at Aquatic create and improve trading models using data and statistical methods, collaborating with engineers and leaders.

Partner with portfolio and risk managers to develop quantitative risk models, analyze U.S. power markets, improve backtesting and simulation infrastructure, attribute performance, track P&L and exposures, and deliver actionable insights to scale the trading and risk platform.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

As a Quantitative Researcher, you'll solve financial modeling and algorithm development problems, working closely with traders and developers in a collaborative setting.

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.

Conduct research to develop signals, alpha, and features for options market-making; design, backtest, and deploy quantitative trading models; analyze market microstructure and execution; collaborate with traders and engineers; use AI/LLMs in research; contribute to research infrastructure and data pipelines.

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

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

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 Quantitative Researcher will develop and enhance pricing models for volatility-based derivatives, analyze market data, and collaborate with traders to generate trading ideas.

Develop options pricing and risk models, improve volatility valuation, research volatility alphas, collaborate with traders, and mentor junior staff.

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

Build data foundations and end-to-end pipelines, research and implement quantitative pricing, market-making, and risk models for prediction markets, model cross-market dependencies and parlays, develop backtesting/simulation frameworks, monitor model performance and collaborate closely with traders to improve pricing and trading outcomes.

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

Design, implement, and manage in-product intercept surveys using Qualtrics; analyze user behavior and survey feedback; build and automate dashboards; integrate survey and behavioral data (e.g., Glassbox); collaborate with UX, product, and engineering teams to translate quantitative findings into actionable product improvements.

Conduct research to identify market anomalies, generate trading ideas, and develop systematic strategies focusing on high frequency/intraday opportunities.