Quantitative Researcher

Edgehog Trading • Chicago, IL

17h • $120,000 - $175,000 • Onsite

About The Position

We are seeking a Quantitative Researcher to join our team. In this role, you will conduct signal, alpha, and feature research to develop models that improve trading strategy performance. You will design, backtest, and iterate on quantitative trading models from ideation through production deployment. Your responsibilities will include analyzing market microstructure, execution quality, and options pricing dynamics to identify new research directions. You will collaborate closely with traders and engineers to translate research findings into live trading systems. A key aspect of this role involves actively using AI tools throughout your research workflow, from exploring datasets and generating hypotheses to accelerating code and stress-testing model assumptions. You will also contribute to our research infrastructure, including data pipelines, evaluation frameworks, and reproducibility tooling.

Requirements

• BS, MS, or PhD in a quantitative field — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or similar
• 1–3 years of research or industry experience in quantitative finance, systematic trading, or applied ML / data science
• Strong programming skills in Python; comfort with numerical libraries (NumPy, pandas, SciPy) and data analysis at scale
• Solid foundation in probability, statistics, and machine learning
• Ability to think rigorously about model assumptions, overfitting risks, and out-of-sample validation
• Comfort with AI-assisted development: you actively use LLMs and other AI tools to move faster, think more clearly, and build better
• Genuine curiosity about markets, trading, and how quantitative systems interact with real-world price dynamics
• Candidates from data science or applied ML backgrounds are welcome — strong modeling instincts and statistical rigor matter more to us than prior finance experience

Responsibilities

• Conduct signal, alpha, and feature research to develop models that improve trading strategy performance
• Design, backtest, and iterate on quantitative trading models from ideation through production deployment
• Analyze market microstructure, execution quality, and options pricing dynamics to identify new research directions
• Collaborate closely with traders and engineers to translate research findings into live trading systems
• Use AI tools actively throughout your research workflow — from exploring datasets and generating hypotheses to accelerating code and stress-testing model assumptions
• Contribute to research infrastructure: data pipelines, evaluation frameworks, and reproducibility tooling

Benefits

• Comprehensive health, dental, and vision insurance with premiums 100% covered by the firm
• 401(k) with a 4% company match
• Unlimited paid time off and sick leave
• Free lunch, coffee, drinks, and snacks
• Commuter benefits
• Monthly happy hours and annual team events

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree