Career Description

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.

Skills and Experience:

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