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Simplex Trading LLC · 1 month ago

Algorithmic Trader

Chicago

Full-time

Onsite

Entry, Mid Level

$150K/yr - $200K/yr

2+ years exp

Simplex Trading is a leading, technology-driven proprietary market-making firm based in Chicago. They are seeking an Algorithmic Trader to leverage advanced quantitative techniques for building and maintaining models that support risk management and trading strategies.

FinanceFinancial ServicesMarketingTrading Platform

Responsibilities

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

Qualification

PythonVolatility modelingOption theoryPricingStatistical methodsData analysisMathematical conceptsSQLUnixLinuxRisk ManagementEthicsDiverse ExperienceCollaboration

Required

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