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
Skills Required
- BS, MS, or PhD in 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 and data analysis at scale (NumPy, pandas, SciPy)
- Solid foundation in probability, statistics, and machine learning
- Ability to reason about model assumptions, overfitting risks, and out-of-sample validation
- Comfort using AI-assisted development (LLMs and other AI tools) in research workflows
- Genuine curiosity about markets, trading, and price dynamics
Edgehog Trading Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Edgehog Trading and has not been reviewed or approved by Edgehog Trading.
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Fair & Transparent Compensation — Pay is considered competitive for Chicago prop‑trading roles, with six‑figure bases visible in postings and additional upside from performance components. Market positioning appears strong for trader and selected engineering titles.
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Healthcare Strength — Health, dental, and vision coverage are prominently listed, with some roles indicating fully covered premiums. Disability insurance is also included as part of core benefits.
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Retirement Support — A 401(k) plan with employer match is explicitly advertised. This adds long‑term value alongside salary and bonuses.
Edgehog Trading Insights
What We Do
Edgehog is a performance-driven trading firm where traders and engineers build and operate automated market-making systems. We work as a lean team focused on execution, iteration, and continuous improvement. Our work sits at the intersection of trading, engineering, and quantitative research. Ideas move quickly from investigation to production, and contributions are visible across the firm.
Why Work With Us
At Edgehog Trading we are highly collaborative and team oriented. Traders, developers, and operations work directly with one another, not siloed on different floors or separated by department, leading to higher quality outcomes. Everyone’s opinion is heard here. Edgehog’s belief is nothing is permanent – the status quo must always be challenged.
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