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 systems
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
Strong python programming skills
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
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 150,000 USD per year