Algorithmic Trader

Simplex Trading • Chicago, IL

20h • Onsite

About The Position

Leverage advanced quantitative techniques to build, refine, and maintain models that support risk management, pricing, and trading strategies. Develop models to replicate stress haircut calculations and deliver Python prototypes. Price options under a variety of stress scenarios and forecast expected profit or loss. Create, roll out, and maintain models capturing vol-spot relationships, forecast interest rate future prices, and design algorithms to combine multiple underlying price forecasts. Enhance volatility modeling through experimental research. Conduct A/B testing to refine trading parameters, analyze market data to identify underexplored trade opportunities. Work is at Employer's Office (230 S. LaSalle Street, Suite 8-500, Chicago, IL 60604) with no travel involved.

Requirements

• Bachelor’s degree (or foreign equivalent) in Finance, Mathematical Finance, Mathematics, Statistics, or a related field.
• Must have passed Series 57 exam.
• At least two (2) years of experience in any occupational title involving working with option theory and pricing.
• At least two (2) years of experience performing volatility modeling and fitting including with surface dynamics and vol-spot dynamics.
• At least two (2) years of experience working with option theory and pricing including derivatives pricing and futures/futures spreads.
• At least two (2) years of experience working with mathematical concepts such as calculus, linear algebra, and statistics.
• At least two (2) years of experience working with Statistical methods in performing hypothesis testing and designing experiments.
• At least two (2) years of experience working with finite difference methods and error function measurements for numerical analysis.
• At least two (2) years of experience conducting data analysis and market microstructure research.
• At least two (2) years of experience reading and interpreting finance journals.
• At least two (2) years of experience working with programming tools including Python, SQL, Unix, and Linux.

Responsibilities

• Build, refine, and maintain models that support risk management, pricing, and trading strategies.
• Develop models to replicate stress haircut calculations and deliver Python prototypes.
• Price options under a variety of stress scenarios and forecast expected profit or loss.
• Create, roll out, and maintain models capturing vol-spot relationships.
• Forecast interest rate future prices.
• Design algorithms to combine multiple underlying price forecasts.
• Enhance volatility modeling through experimental research.
• Conduct A/B testing to refine trading parameters.
• Analyze market data to identify underexplored trade opportunities.

Benefits

• Annual discretionary bonus
• Health/dental/vision insurance (free employee coverage!)
• 401(k) match
• Generous parental leave
• Tuition Reimbursement
• Employee Discounts
• Charity Match
• In-person happy hours, celebrations throughout the year, game nights, video game fun, and so much more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level