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