We are a proprietary trading firm specializing in systematic electronic options market-making. Our vision is to scale and automate our quantitative strategies through cutting-edge algorithmic infrastructure and a diverse, multidisciplinary team of traders, quantitative developers, and researchers. We distinguish ourselves through rigorous data-driven decision-making, advanced technology platforms, and innovative quantitative methodologies, enabling us to address the complex challenges inherent in highly efficient markets. Leveraging best-in-class low-latency execution systems, sophisticated risk management frameworks, and state-of-the-art computational infrastructure, we maintain a competitive edge in the high-frequency trading landscape. Our foundation rests upon a commitment to continuous learning, absolute transparency, and a collaborative approach to every facet of our operations.
What you'll do:
Proactively manage pricing and positions for the SPX Index options market making desk
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 (3+ years) with a proven track record of success managing an index options market making book
BS/MS/BA 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
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
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 - 175,000 USD per year
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What you'll do:
Proactively manage pricing and positions for the SPX Index options market making desk
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 (3+ years) with a proven track record of success managing an index options market making book
BS/MS/BA 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
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
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 - 175,000 USD per year
#J-18808-Ljbffr