Quantitative Options Trader

What you'll do: Design and optimize systematic options trading strategies using quantitative research and machine learning techniques Build and refine algorithmic options 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

Qualifications and skills: Previous experience trading (1-4 years) with a proven track record of success managing an options market making book and maintaining/improving automated trading systemsBA/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 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: Monthly 1-on-1s with your mentor, quarterly reviews with leadership Chicago-based: Affordable cost of living, vibrant trading community 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 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 150,000 USD per year