Quantitative Researcher

Edgehog Trading

Chicago, Illinois

JOB DETAILS
SALARY
$120,000–$175,000 Per Year
SKILLS
Artificial Intelligence (AI), Computer Programming, Computer Science, Data Analysis, Data Management, Data Science, Data Sets, Finance, Financial Mathematics, Leadership, Leading Edge Technology, Machine Learning, Machine Tool, Market Analysis, Mathematics, Mentoring, Options Valuation, Performance Management, Physics, Profit & Loss Management, Python Programming/Scripting Language, Quantitative Research, Residential Construction, Statistical Modeling, Statistics, Stress Modeling, Stress Testing, Trading Systems
LOCATION
Chicago, Illinois
POSTED
3 days ago

What you'll do:

  • 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

Qualifications and skills:

  • 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

Why Edgehog:

  • Small team advantage: Direct access to founders and senior team members from day one
  • Ownership early: Manage real P&L and make meaningful impact within your first year
  • Cutting-edge tech: Work with our proprietary models and low-latency trading systems built in-house
  • Tight feedback loops: Weekly 1-on-1s with your mentor, quarterly reviews with leadership
  • Chicago-based: Affordable cost of living, vibrant trading community

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


The base salary range for this position is listed below. Base salary represents just one part of overall compensation; all full-time, permanent roles are eligible for a discretionary bonus and benefits, including items in the above list.

The base salary for this role is 120,000 - 175,000 USD per year

About the Company

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Edgehog Trading