Full-Time
Quantitative Researcher
Updated on 9/12/2026
Edgehog Trading
11-50 employees
Proprietary trading firm for electronic options
Compensation Overview
$120k - $175k/yr
Chicago, IL, USA
In Person
Bachelor's, Master's, PhD
 Quantitative Finance (1) |
|---|
Get referred to Edgehog Trading
See people who can refer or advise you
- A BS, MS, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- One to three years of research or industry experience in quantitative finance, systematic trading, or applied machine learning or data science.
- Strong programming skills in Python and familiarity with NumPy, pandas, SciPy, and data analysis at scale.
- A solid foundation in probability, statistics, and machine learning.
- Ability to rigorously assess model assumptions, overfitting risks, and out-of-sample validation.
- Comfort with AI-assisted development, including active use of large language models and other AI tools.
- Curiosity about markets, trading, and how quantitative systems interact with real-world price dynamics.
- 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 with traders and engineers to translate research findings into live trading systems.
- Use AI tools throughout the research workflow, including exploring datasets, generating hypotheses, accelerating code, and stress-testing model assumptions.
- Contribute to research infrastructure, including data pipelines, evaluation frameworks, and reproducibility tooling.
- Manage real profit and loss and contribute meaningfully within the first year.
- Candidates from data science or applied machine learning backgrounds are welcome; strong modeling instincts and statistical rigor are valued more than prior finance experience.
Edgehog Trading is a proprietary trading firm that focuses on electronic option market making strategies. It runs algorithmic trading to post bids and offers in options markets, aiming to profit from small price differences while managing risk through automation and data-driven decisions. The company achieves this with a team that combines traders, developers, and data scientists, all working to scale and automate profitable strategies across markets. The main differentiators are its in-house, data-centered approach and a problem-solving framework that helps it address complex challenges in efficient markets. The goal is to grow and fully automate its profitable strategies to a high level of precision and scale.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Chicago, Illinois
Founded
2018
Get referred to Edgehog Trading
See people who can refer or advise you
Simplify's Take
What believers are saying
- Edgehog listed twelve open roles on August 5, 2026.
- Graduate Trader and Junior FPGA postings signal continued expansion.
- The August 22, 2026 website update stresses ongoing system improvement.
What critics are saying
- Citadel and Optiver dominate options liquidity, squeezing Edgehog’s spread economics.
- Twelve open roles with no funding disclosure signal capital discipline pressure.
- One trading bug or outage can erase edge and threaten the firm’s survival.
What makes Edgehog Trading unique
- Edgehog runs automated options market-making systems from Chicago since 2018.
- Its traders, engineers, and quants share one tightly integrated workflow.
- Open roles span C++, FPGA, and options pricing, showing infrastructure depth.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Performance Bonus