Machine Learning Quantitative Researcher
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This role combines quantitative research and software engineering. You will be responsible for designing, developing, and deploying automated intraday and mid-frequency trading strategies using machine learning models and advanced quantitative methods. The position involves working with large datasets, applying statistical techniques to drive real-time trading decisions.
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Main Responsibilities:
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* Design and execute research experiments to develop innovative models and strategies, evaluating results rigorously.
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* Develop production-ready code for live trading integration, collaborating with developers.
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* Enhance research and trading infrastructure through machine learning methods, including data preprocessing, feature selection, model training, and backtesting.
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* Monitor live trading strategies for performance issues such as covariate shift.
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* Integrate external libraries into production code following best engineering practices.
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* Optimize model training and backtesting using parallel, distributed, and cloud computing.
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* Explore opportunities for strategy expansion across global futures products.
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Required Qualifications:
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* A Master's or PhD in a STEM field (e.g., Machine Learning, Computer Science, Physics).
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* Experience: 1+ years of applied machine learning experience in a commercial or academic setting, or 1+ years in quantitative research or development in trading.
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* Skills:
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o Strong understanding of multivariate statistics, time-series analysis, machine learning, and optimization.
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o Strong programming skills in Python, including libraries like NumPy, Pandas, and Scikit-learn.
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o Familiarity with Q/KDB and Git.
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o Strong mathematical ability in linear algebra and calculus.
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The ideal candidate should have a strong background in machine learning and quantitative finance, with excellent coding skills and the ability to work effectively in a team environment.
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About the Role
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This is an exciting opportunity for a talented quantitative researcher to join our team and contribute to the development of innovative trading strategies using machine learning techniques.
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Contact Information
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Please submit your application through our online portal.
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We are committed to diversity and inclusion and welcome applications from candidates from diverse backgrounds.
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