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    Quantitative Researcher - Chicago, United States - Durlston Partners

    Durlston Partners
    Durlston Partners Chicago, United States

    1 week ago

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    Description

    Quant Researcher - Options Market Making - $600k

    Hiring an experienced Quant Researcher to develop quantitative models for a high-performance options market-making desk. Work closely with the technology teams to ensure that trading models and algorithms are seamlessly integrated into the trading infrastructure, with a focus on low-latency execution.

    Key Responsibilities:

    • Quantitative Model Development: Develop and refine quantitative models for models for pricing, volatility forecasting, and the identification of short-term arbitrage opportunities.
    • Market Data Analysis: Deep dive into market data and identify trading opportunities. Leverage your expertise in statistical analysis to parse through vast datasets, applying machine learning algorithms where appropriate to enhance decision-making processes.
    • Strategy Optimization: Optimize risk management and execution efficiency.
    • Back-Testing and Performance Analysis: Conduct rigorous back-testing of strategies, and evaluate potential profitability and risk. Utilize post-trade analysis to iterate and refine strategies, ensuring continuous improvement and adaptation to market conditions.

    Required Skills and Qualifications:

    • Expertise in options trading and market making, with a strong track record of developing successful quantitative strategies.
    • A deep understanding of option pricing models, volatility surface dynamics, and the mechanics of options markets. Familiarity with the regulatory environment and compliance standards affecting options trading.
    • Outstanding quantitative and analytical capabilities, with a proven ability to tackle complex data analysis challenges and apply innovative problem-solving techniques.
    • Exceptional skills in Python & C++ programming.
    • Advanced Quantitative Degree: A Ph.D. or Master's degree in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or a closely related discipline.

    Desired:

    • Experience in a high-frequency trading environment is highly valued.
    • Experience with database management and familiarity with machine learning frameworks is preferred.
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