Quantitative Researcher - Machine Learning

About DRW

DRW is a multidimensional trading firm with over 30 years of experience combining advanced technology and skilled professionals to engage in global markets. Operating independently with their own capital and assuming their risks, DRW handles a wide range of assets such as Fixed Income, ETFs, Equities, FX, Commodities, and Energy internationally. The company also extends its expertise into real estate, venture capital, and cryptoassets sectors. DRW fosters a culture of respect, curiosity, integrity, innovation, and openness to challenging conventional thinking.

Role Overview

The Machine Learning Researcher position requires profound knowledge of modern machine learning algorithms, including cutting-edge methods like transformer architectures. The incumbent will be responsible for converting theoretical insights into impactful and production-ready machine learning solutions.

Key Responsibilities

• Conduct research, design, and implement reliable machine learning models.
• Develop and sustain scalable, production-level machine learning pipelines.
• Analyze and extract meaningful patterns and signals from vast, noisy, structured and unstructured datasets.

Qualifications and Requirements

• Possess a PhD or exceptional Master’s degree in Machine Learning, Computer Science, or a related discipline.
• Demonstrate deep theoretical understanding and practical expertise in core machine learning algorithms, with the ability to experiment with model architectures, feature engineering, and hyperparameter tuning to build robust models.
• Have proven success in deploying machine learning models from research phases to live production environments.

Additional Information

Experience in applying machine learning within financial markets is advantageous but not mandatory; outstanding candidates from technology sectors, startups, or academia with a strong background in machine learning are encouraged to apply.

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