Top Quantitative Researcher Jobs in Chicago, IL

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.

Leads complex CMS Innovation Center evaluations involving Medicare and Medicaid payment models, quasi-experimental and mixed-methods research, claims and EHR analysis, and beneficiary and provider outcomes. Supports federal business development and proposal efforts, manages tasks and workstreams, maintains client relationships, coaches staff, and communicates findings to technical and non-technical audiences.

Lead original quantitative research on workplace retirement plans, participant behavior, household finance, and retirement policy. Conduct econometric and simulation-based analysis using administrative, survey, and participant-level data. Develop publications, presentations, client analyses, and regulatory comment contributions while translating complex findings for technical and nontechnical audiences. The role also requires retirement subject-matter expertise, stakeholder collaboration, and application of research to Morningstar products and clients.

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.

Develop and implement statistical and machine learning trading strategies and quantitative models. Design optimization algorithms for portfolio construction and explore new research opportunities within derivatives and market behavior.

Conduct quantitative research to identify trading opportunities and develop trading strategies. Analyze financial datasets using statistical and probabilistic methods, distinguish signal from noise, and investigate market dynamics and microstructure. Build and use research frameworks, apply coding skills in languages such as C++ and Python, and collaborate across projects to improve the firm’s trading capabilities and profitability.

Designs and manages Qualtrics in-product intercept surveys, targeting workflows, directories, and data collection. Analyzes user behavior, product performance, and survey feedback; builds dashboards and communicates actionable insights to product, UX, and leadership teams. Collaborates with qualitative researchers, data engineering, and development teams to integrate survey data with behavioral analytics platforms and enable access to behavioral datasets across B2B and B2C products.

Conduct independent quantitative research to improve trading strategies in options pricing, risk management, and market dynamics. Develop mathematically rigorous, data-driven models, collaborate with traders to define research questions, prototype solutions for low-latency systems, and present findings to trading and technology teams.

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

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

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

Join the options trading quant team to design, implement, and improve derivative pricing models (variance swaps, VIX, volatility swaps). Evaluate and stabilize calibrations and Greeks, develop Python research libraries and market-data filters, analyze microstructure for trading ideas, and collaborate with traders to build tools and generate options research.

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

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.

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

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

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

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.

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

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

Conduct quantitative research for traders by testing market hypotheses, building and maintaining documented signals, performing event studies and backtests, and validating results against leakage, survivorship bias, transaction costs, and regime dependence. Organize reproducible point-in-time datasets, communicate findings clearly, track signal performance, and use AI tools to accelerate research and coding while verifying outputs.

Develop and enhance data-driven trading strategies for US financial markets. Responsibilities include analyzing large datasets, generating predictive signals, collaborating with trading and engineering teams, and owning research and strategy development end to end. The role requires quantitative problem-solving, statistical analysis, programming, algorithms, and Linux/Unix expertise in a fast-paced research environment.