Senior Commodity Options Trader - Real-Time ML Strategies

Edgehog Trading; Chicago (IL); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Health insurance (comprehensive)

401(k) with 4% company match

Unlimited PTO

Job summary

Edgehog Trading in Chicago is a proprietary trading firm focused on electronic options market making. We design automated, low-latency systems to provide liquidity across markets, with a collaborative team spanning trading, engineering, and business operations.

Join us to manage real-time risk and pricing across a diversified options portfolio, design systematic strategies with quantitative research and ML, and deploy models from ideation to production.

Qualifications

• 2-7+ years of trading experience with a proven track record in managing a commodity options market making book
• Knowledge of commodity options pricing, volatility, and CME/ICE market structure
• Strong quantitative and analytical skills with attention to detail
• Able to handle multiple responsibilities quickly with high operational excellence
• Python is a plus but not required

Responsibilities

• Manage real-time risk and pricing across a diversified options portfolio
• Design and optimize systematic options trading strategies using quantitative research and ML
• Build and refine algorithmic trading models from ideation through production deployment
• Track commodity fundamentals (supply, demand, storage, weather, term structure) affecting mispricing
• Collaborate with researchers and engineers to develop models using proprietary datasets

Skills

Trading experience

Quantitative analysis

Python programming

Attention to detail

Operational excellence

Market knowledge (CME/ICE)

Education

BA/BS/MS/PhD in CS/Data Science/Engineering/Math/Economics/Finance/Physics or related field

Job description

Edgehog Trading in Chicago is a proprietary trading firm focused on electronic options market making. We design automated, low-latency systems to provide liquidity across markets, with a collaborative team spanning trading, engineering, and business operations.

Join us to manage real-time risk and pricing across a diversified options portfolio, design systematic strategies with quantitative research and ML, and deploy models from ideation to production.