Evening Trader (5 pm - 12 am)

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.

• →Proactively manage positions for multiple asset classes during the evening shift (5 pm to 12 am)
• →Design and optimize systematic options trading strategies using quantitative research and machine learning techniques
• →Build and refine algorithmic trading models from ideation through production deployment
• →Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance
• →Collaborate with quant researchers and engineers to develop new models using our proprietary datasets
• →Manage real-time risk across a diversified portfolio of options positions

• Previous experience trading (2+ years) with a proven track record of success managing an options market making book
• BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance, Physics, or related field
• Exceptional attention to detail
• Excellent quantitative and analytical skills
• Ability to take on many responsibilities quickly with a high degree of operational excellence
• Python programming skills are a plus, but not required

• 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: Monthly 1-on-1s with your mentor, quarterly reviews with leadership
• Chicago-based: Affordable cost of living, vibrant trading community