Conduct quantitative research on trading signals, alpha, features, market microstructure, execution quality, and options pricing. Design, backtest, validate, and deploy models for automated trading strategies. Collaborate with traders and engineers to implement research in production, use AI tools to accelerate analysis, and contribute to data pipelines, evaluation frameworks, and reproducibility infrastructure.
About us
Edgehog Trading is a proprietary trading firm specializing in electronic options market making. We take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
Our team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. We emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.
We operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm’s growth.
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
Edgehog Trading Chicago, Illinois, USA Office
363 W Erie St, Chicago, Illinois, United States, 60654
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