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What you'll do:
- 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
Qualifications and skills:
- Previous experience trading (1-2 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: Weekly 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
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